Relevant bibliographies by topics / Heuristic methodology

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  2. Dissertations / Theses
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Academic literature on the topic 'Heuristic methodology'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Heuristic methodology"

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Soria-Alcaraz, Jorge A., Gabriela Ochoa, Andres Espinal, Marco A. Sotelo-Figueroa, Manuel Ornelas-Rodriguez, and Horacio Rostro-Gonzalez. "A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics." Complexity 2020 (February 13, 2020): 1–10. http://dx.doi.org/10.1155/2020/2871835.

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Selection hyper-heuristics are generic search tools that dynamically choose, from a given pool, the most promising operator (low-level heuristic) to apply at each iteration of the search process. The performance of these methods depends on the quality of the heuristic pool. Two types of heuristics can be part of the pool: diversification heuristics, which help to escape from local optima, and intensification heuristics, which effectively exploit promising regions in the vicinity of good solutions. An effective search strategy needs a balance between these two strategies. However, it is not straightforward to categorize an operator as intensification or diversification heuristic on complex domains. Therefore, we propose an automated methodology to do this classification. This brings methodological rigor to the configuration of an iterated local search hyper-heuristic featuring diversification and intensification stages. The methodology considers the empirical ranking of the heuristics based on an estimation of their capacity to either diversify or intensify the search. We incorporate the proposed approach into a state-of-the-art hyper-heuristic solving two domains: course timetabling and vehicle routing. Our results indicate improved performance, including new best-known solutions for the course timetabling problem.
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Drake, John H., Matthew Hyde, Khaled Ibrahim, and Ender Ozcan. "A genetic programming hyper-heuristic for the multidimensional knapsack problem." Kybernetes 43, no. 9/10 (November 3, 2014): 1500–1511. http://dx.doi.org/10.1108/k-09-2013-0201.

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Purpose – Hyper-heuristics are a class of high-level search techniques which operate on a search space of heuristics rather than directly on a search space of solutions. The purpose of this paper is to investigate the suitability of using genetic programming as a hyper-heuristic methodology to generate constructive heuristics to solve the multidimensional 0-1 knapsack problem Design/methodology/approach – Early hyper-heuristics focused on selecting and applying a low-level heuristic at each stage of a search. Recent trends in hyper-heuristic research have led to a number of approaches being developed to automatically generate new heuristics from a set of heuristic components. A population of heuristics to rank knapsack items are trained on a subset of test problems and then applied to unseen instances. Findings – The results over a set of standard benchmarks show that genetic programming can be used to generate constructive heuristics which yield human-competitive results. Originality/value – In this work the authors show that genetic programming is suitable as a method to generate reusable constructive heuristics for the multidimensional 0-1 knapsack problem. This is classified as a hyper-heuristic approach as it operates on a search space of heuristics rather than a search space of solutions. To our knowledge, this is the first time in the literature a GP hyper-heuristic has been used to solve the multidimensional 0-1 knapsack problem. The results suggest that using GP to evolve ranking mechanisms merits further future research effort.
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Burke, Edmund K., Matthew R. Hyde, Graham Kendall, and John Woodward. "Automating the Packing Heuristic Design Process with Genetic Programming." Evolutionary Computation 20, no. 1 (March 2012): 63–89. http://dx.doi.org/10.1162/evco_a_00044.

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The literature shows that one-, two-, and three-dimensional bin packing and knapsack packing are difficult problems in operational research. Many techniques, including exact, heuristic, and metaheuristic approaches, have been investigated to solve these problems and it is often not clear which method to use when presented with a new instance. This paper presents an approach which is motivated by the goal of building computer systems which can design heuristic methods. The overall aim is to explore the possibilities for automating the heuristic design process. We present a genetic programming system to automatically generate a good quality heuristic for each instance. It is not necessary to change the methodology depending on the problem type (one-, two-, or three-dimensional knapsack and bin packing problems), and it therefore has a level of generality unmatched by other systems in the literature. We carry out an extensive suite of experiments and compare with the best human designed heuristics in the literature. Note that our heuristic design methodology uses the same parameters for all the experiments. The contribution of this paper is to present a more general packing methodology than those currently available, and to show that, by using this methodology, it is possible for a computer system to design heuristics which are competitive with the human designed heuristics from the literature. This represents the first packing algorithm in the literature able to claim human competitive results in such a wide variety of packing domains.
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Luescher, Andreas. "The Professional Portfolio as Heuristic Methodology." Journal of Technical Writing and Communication 32, no. 4 (October 2002): 353–66. http://dx.doi.org/10.2190/0yg4-3yrh-kk3n-ykgx.

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The antecedents of literary autobiography as we know it today emerged during the 17th century against a backdrop of the rise of empirical science and inductive method. An arguably older form of autobiography—the portfolio—has, unlike the literary biography, languished on the periphery of academia during our time. While it should not be controversial to say that possession of an heuristic bent is one mark of a successful education (since learning how to think, that is learning how to be open, alert, engaged, is the fundamental mission of the student), the portfolio has been ignored in part because of its modern connotation as a ‘marketing’ tool but perhaps more significantly because as a heuristic methodology it is a threat to the centrality of the pedagogue. I argue that the portfolio deserves at very least a re-evaluation throughout academic (to say nothing of quotidian) life as an indispensable tool of the spirit of pedagogy. Like the autobiography, it is validated by the belief that gathering data or details about individual lives has to precede drawing general conclusions or seeing any overarching patterns.
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Savolainen, Reijo. "Heuristics elements of information-seeking strategies and tactics: a conceptual analysis." Journal of Documentation 73, no. 6 (October 9, 2017): 1322–42. http://dx.doi.org/10.1108/jd-11-2016-0144.

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Purpose The purpose of this paper is to elaborate the picture of strategies and tactics for information seeking and searching by focusing on the heuristic elements of such strategies and tactics. Design/methodology/approach A conceptual analysis of a sample of 31 pertinent investigations was conducted to find out how researchers have approached heuristics in the above context since the 1970s. To achieve this, the study draws on the ideas produced within the research programmes on Heuristics and Biases, and Fast and Frugal Heuristics. Findings Researchers have approached the heuristic elements in three major ways. First, these elements are defined as general level constituents of browsing strategies in particular. Second, heuristics are approached as search tips. Third, there are examples of conceptualizations of individual heuristics. Familiarity heuristic suggests that people tend to prefer sources that have worked well in similar situations in the past. Recognition heuristic draws on an all-or-none distinction of the information objects, based on cues such as information scent. Finally, representativeness heuristic is based on recalling similar instances of events or objects and judging their typicality in terms of genres, for example. Research limitations/implications As the study focuses on three heuristics only, the findings cannot be generalized to describe the use of all heuristic elements of strategies and tactics for information seeking and searching. Originality/value The study pioneers by providing an in-depth analysis of the ways in which the heuristic elements are conceptualized in the context of information seeking and searching. The findings contribute to the elaboration of the conceptual issues of information behavior research.
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Singh, Dilraj, and Harmanpreet Bhatia. "An Exploratory Study On Scope Of Heuristic Methodology For Teaching In Hospitality Institutes During Pandemic." PUSA Journal of Hospitality and Applied Sciences 8, no. 1 (November 30, 2022): 18–33. http://dx.doi.org/10.48165/pjhas.2022.8.1.2.

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Background: Learning is the on-going and continuous process through our lives , there are some learning which is done through exploring new ventures, thinking differently to solve a particular problem, some learnings are through experiments and demonstrations which cannot be taught in white and black, this is where the heuristics learning evolve and came into existence and it also help the teachers or educators to break the monotony of traditional teaching methods and let the student to swim in the ocean of knowledge and get to the shore with the best possible results to the problems. Objectives: This study is to find out the acceptability and enlist prominent attitude for the heuristic learning along with the major challenges faced by the faculty in implementation of same in hospitality education. Methodology: A descriptive cross –sectional design was adopted. The study was conducted in hospitality institutes pan India through online Google Forms in form of questionnaire. Respondents were the faculty members of the institutes which were approached by sending e-mails and through online survey. Total 210 respondents participated in survey. The analysis was done by using relative importance of index along with averages and percentages. Results: The most important attitude required by faculty for the implementation of heuristic methodology are the acceptance of unique solution of students (0.867) and after testing the solution correct knowledge should be imparted to the students (0.856) (relative index of importance). The acceptability of heuristic methodology among the faculty is on average level with response of (39%) use of heuristic methodology for giving inputs to students. Various challenges in implementation are the syllabus needs a major change. The initial set of skills and knowledge are required by the students (56%), completing the syllabus will be a challenge as all the topics in various subjects are not teachable with heuristic methodology (38%). Conclusion: Respondents have given their responses towards mild acceptability towards using heuristic methodology, on the other hand the issues of challenges faced and various attitude required are strongly reflected towards the heuristic education. The need of proper training and right king of changes in syllabus are must of the successful implementation of this methodology.
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Mellouli, O., I. Hafidi, and A. Metrane. "A modified choice function hyper-heuristic with Boltzmann function." Mathematical Modeling and Computing 8, no. 4 (2021): 736–46. http://dx.doi.org/10.23939/mmc2021.04.736.

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Hyper-heuristics are a subclass of high-level research methods that function in a low-level heuristic research space. Their aim objective is to improve the level of generality for solving combinatorial optimization problems using two main components: a methodology for the heuristic selection and a move acceptance criterion, to ensure intensification and diversification [1]. Thus, rather than working directly on the problem's solutions and selecting one of them to proceed to the next step at each stage, hyper-heuristics operates on a low-level heuristic research space. The choice function is one of the hyper-heuristics that have proven their efficiency in solving combinatorial optimization problems [2–4]. At each iteration, the selection of heuristics is dependent on a score calculated by combining three different measures to guarantee both intensification and diversification for the heuristics choice process. The heuristic with the highest score is therefore chosen to be applied to the problem. Therefore, the key to the success of the choice function is to choose the correct weight parameters of its three measures. In this study, we make a state of the art in hyper-heuristic research and propose a new method that automatically controls these weight parameters based on the Boltzmann function. The results obtained from its application on five problem domains are compared with those of the standard, modified choice function proposed by Drake et al. [2,3].
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Lee, Jin Lee, Doo Ho Park, and Chang Hoon Lee. "Phishing Detection Methodology Using Web Sites Heuristic." KIPS Transactions on Computer and Communication Systems 4, no. 10 (October 31, 2015): 349–60. http://dx.doi.org/10.3745/ktccs.2015.4.10.349.

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Schwaninger, M. "Integrative Systems Methodology: Heuristic for Requisite Variety." International Transactions in Operational Research 4, no. 2 (March 1997): 109–23. http://dx.doi.org/10.1111/j.1475-3995.1997.tb00068.x.

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Lengler, Johannes. "The Cohen–Lenstra heuristic: Methodology and results." Journal of Algebra 323, no. 10 (May 2010): 2960–76. http://dx.doi.org/10.1016/j.jalgebra.2010.01.016.

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Dissertations / Theses on the topic "Heuristic methodology"

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Garrett, C. "Functional diagnostic strategies for analogue systems using heuristic programming techniques." Thesis, University of Brighton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234718.

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Bepswa, Paul Aaron. "Development of a heuristic methodology for designing measurement networks for precise metal accounting." Doctoral thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20420.

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This thesis investigates the development of a heuristic based methodology for designing measurement networks with application to the precise accounting of metal flows in mineral beneficiation operations. The term 'measurement network' is used to refer to the 'system of sampling and weight measurement equipment' from which process measurements are routinely collected. Metal accounting is defined as the estimation of saleable metal in the mine and subsequent process streams over a defined time period. One of the greatest challenges facing metal accounting is 'uncertainty' that is caused by random errors, and sometimes gross errors, that obtain in process measurements. While gross errors can be eliminated through correct measurement practices, random errors are an inherent property of measured data and they can only be minimised. Two types of rules for designing measurement networks were considered. The first type of rules referred to as 'expert heuristics' consists of (i) Code of Practice Guidelines from the AMIRA P754 Code, and (ii) prevailing accounting practices from the mineral and metallurgical processing industry which were obtained through a questionnaire survey campaign. It was hypothesised that experts in the industry design measurement networks using rules or guidelines that ensure requisite quality in metal accounting. The second set of rules was derived from the symbolic manipulation of the general steady-state linear data reconciliation solution as well as from an intensive numerical study on the variance reduction response of measurements after data reconciliation conducted in this study. These were referred to as 'mathematical heuristics' and are based on the general principle of variance reduction through data reconciliation. It was hypothesised that data reconciliation can be used to target variance reduction for selected measurements by exploiting characteristics of entire measurement networks as well as individual measurement characteristics.
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Chastain, James R. "A heuristic methodology for locating monitoring stations to detect contamination events in potable water distribution systems." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000468.

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Chastain, James R. Jr. "A Heuristic Methodology for Locating Monitoring Stations to Detect Contamination Events in Potable Water Distribution Systems." Scholar Commons, 2004. https://scholarcommons.usf.edu/etd/988.

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The requirements to protect public water systems from intentional contamination have expanded in the years following September 11, 2001. The areal extent and non-linear nature of water demand and movement in the distribution system makes efficient location of sampling points difficult. This difficulty is compounded by the fact that contamination conceptually can occur at any point and at any time within the distribution system. Small to mid-sized water systems are especially at a disadvantage in addressing this issue due to limited resources available to them. This paper proposes a heuristic methodology to identify strategic locations within the system that can be established as critical detection points for such occurrences. The process uses off-the-shelf software and is structured to be accessible to small and mid-sized water system managers. This methodology is different from others proposed in the literature in that it uses computer simulations to create a database of water system response to contamination at every node in the system. A process is developed to mine this database systematically after considering concentration thresholds and "time since injection" parameters. Finally, using pivot tables and graphs, a network of monitoring locations is identified to provide efficient coverage of the system under the conditions imposed.
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Swartz, Kent Olen. "Virtual Environment Usability Assessment Methods Based on a Framework of Usability Characteristics." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/34890.

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Developing economical yet effective methods of incorporating usability engineering as an integral part of software engineering is a primary focus of human-computer interaction (HCI) research. However, much HCI research has focused primarily on inspecting and evaluating applications supporting command-line or graphical user interface (GUI) interaction styles. With the dramatic increase in virtual environment (VE) research in recent years, the HCI community is beginning to place an added emphasis on creating methodologies to ensure usability in VE development. While the demand for VE-specific usability engineering methods and criteria is dire as the amount of money invested by military, government, commercial, and industrial organizations continues to grow, widely accepted methodologies for assessing VE usability are, at this point in time, minimal. There has been a recent increase in research discussing the need of VE-specific usability engineering methodologies, but few research projects have concentrated their efforts on providing such methodologies. Therefore, application developers attempting to apply a user-centered design approach in constructing VEs must often perform largely ad-hoc assessments or in-house evaluations using existing non-VE-specific usability engineering methodologies.

The primary focus of this research was to develop a method to guide usability engineering of VEs. The strategy used to develop this usability evaluation method was to modify existing usability evaluation methodologies to support VE development by leveraging the results of previous VE usability research performed at Virginia Tech and elsewhere. The result was a VE-specific usability evaluation methodology that encompasses two existing usability assessment techniques: usability inspections and formative evaluations. We applied this methodology to Crumbs, an immersive visualization VE developed at the National Center for Supercomputing Applications (NCSA).

A multi-dimensional framework of VE usability characteristics was a topic of research at Virginia Tech. This framework provided the backbone for VE-specific modifications to the existing usability evaluation techniques proposed in this research. Framework design guidelines permitted usability specialists to perform guidelines-based usability inspections of Crumbs. Results gathered from the guidelines-based usability inspections were used not only to redesign the Crumbs user interface but also drive creation of a formative evaluation plan. Application of the methodology not only uncovered usability issues with Crumbs, but also provided invaluable information regarding the effectiveness of the methodology itself. We conclude this thesis by describing a usability evaluation methodology, called the Modified Concept Book Usability Evaluation Methodology, proposed to improve the usability evaluation methodology performed on Crumbs and other VEs. Our methodology was adapted from an established methodology for performing content analysis on a large volume of qualitative data.

Because the realm of VEs is so vast and diverse in application domains and devices, we do not claim that our methodology supports an exhaustive usability evaluation of all VEs. However, the proposed technique is a first attempt at modifying existing usability evaluation methods, and therefore can be used as a launching pad for methodologies to evaluate other aspects of specific VE applications.
Master of Science

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Fitton, N. V. "Why and How to Report Distributions of Optima in Experiments on Heuristic Algorithms." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1006054556.

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Grimes, Larry G. "Teaching Evolution: A Heuristic Study of Personal and Cultural Dissonance." Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/23.

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Darwinian evolution is a robustly supported scientific theory. Yet creationists continue to challenge its teaching in American public schools. Biology teachers in all 50 states are responsible for teaching science content standards that include evolution. As products of their backgrounds and affiliations teachers bring personal attitudes and beliefs to their teaching. The purpose of this study was to explore how biology teachers perceive, describe, and value their teaching of evolution. This research question was explored through a heuristic qualitative methodology. Eight veteran California high school biology teachers were queried as to their beliefs, perceptions, experiences and practices of teaching evolution. Both personal and professional documents were collected. Data was presented in the form of biographical essays that highlight teachers' backgrounds, experiences, perspectives and practices of teaching evolution. Of special interest was how they describe pressure over teaching evolution during a decade of standards and No Child Left Behind high-stakes testing mandates. Five common themes emerged. Standards have increased the overall amount of evolution that is taught. High-stakes testing has decreased the depth at which evolution is taught. Teacher belief systems strongly influence how evolution is taught. Fear of creationist challenges effect evolution teaching strategies. And lastly, concern over the potential effects of teaching evolution on student worldviews was mixed. Three categories of teacher concern over the potential impact of evolution on student worldviews were identified: Concerned, Strategist, and Carefree. In the final analysis teacher beliefs and attitudes still appeared to he the most important factor influencing how evolution is taught.
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Naware, Mihika. "Vastra Avatar a personal manifestation of fashion, culture, and identity : this is thesis submitted to Auckland University of Technology in partial fulfilment of the degree of Master of Art and Design /." Click here to access this resource online, 2009. http://hdl.handle.net/10292/811.

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This research project asks; what is the potential for garments to express an Indian/European cultural hybridisation? The research explores the development of an alternative aesthetic by hybridising the ethos of traditional Indian garments and the aesthetics of 'Western' garments. The garments have been designed and constructed after key design features were indentified, and the new garments reflect hybridisation. The aspect of hybridisation was further enhanced with the use of digitally-printed fabric imagery which features a mythologised and idealised European/Indian history. The research seeks to discover if such a joining-together could develop an aesthetic sensibility, informed by both a ‘Western’ enculturation and a traditional Indian heritage. The new garments will speak to the viewer about what it is to experience being situated within two cultures simultaneously.
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Masip, Ardévol Llúcia. "User experience methodology for the design and evaluation of interactive systems." Doctoral thesis, Universitat de Lleida, 2013. http://hdl.handle.net/10803/134762.

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L’avaluació heurística és una de les metodologies d’avaluació de la usabilitat més barates i utilitzades. Tot i així, algunes de les fases de la metodologia poden ser semi-automatitzades per tal de disminuir encara més el temps necessari per executar la metodologia i, en conseqüència, disminuir també el pressupost invertit en el procés de desenvolupament del sistema interactiu. A més, en termes generals, la qualitat d’un producte ha evolucionat de la usabilitat cap a l’experiència d’usuari. Per tant, d’acord amb les fases manuals de l’avaluació heurística i l’evolució cap a l’experiència d’usuari, es proposa una nova metodologia basada en heurístiques que considera l’experiència d’usuari en les fases de disseny i avaluació del procés de desenvolupament d’un sistema interactiu. Aquesta nova metodologia basada en heurístiques semi-automatitza l’elecció de les millors heurístiques per un sistema interactiu específic. També suporta el procés de l’avaluació heurística en sí i, finalment proporciona resultats quantitatius, qualitatius, formatius i summatius a través de l’estàndard ISO/IEC 25062:2006 standard for software engineering. Software product Quality Requirements and Evaluation (SQuaRE). Common Industry Format (CIF). Finalment, aquesta metodologia s’implementa en el recurs anomenat Open-HEREDEUX: Open HEurisitc Resource for Designin and Evaluation User eXperience.
La evaluación heurística es una de las metodologías de evaluación de la usabilidad más baratas y utilizadas. Sin embargo, algunas de las fases de la metodología pueden ser semi-automatizadas para disminuir aún más el tiempo necesario para ejecutar la metodología y, en consecuencia, disminuir también el presupuesto invertido en el proceso de desarrollo de un sistema interactivo. Además, en términos generales, la calidad de un producto ha evolucionado de la usabilidad hacia la experiencia de usuario. Por lo tanto, de acuerdo con las fases manuales de la evaluación heurística y la evolución hacia la experiencia de usuario, se propone una nueva metodología basada en heurísticas que considera la experiencia de usuario en las fases de diseño y evaluación del proceso de desarrollo de un sistema interactivo. Esta nueva metodología basada en heurísticas semi-automatiza la selección de las mejores heurísticas para un sistema interactivo específico. También da soporte en el proceso de la evaluación heurística en sí y, finalmente, proporciona resultados cuantitativos, cualitativos, formativos y summativos a través del estándar ISO/IEC 25062:2006 standard for software engineering. Software product Quality Requirements and Evaluation (SQuaRE). Common Industry Format (CIF). Finalmente, esta metodología es implementada mediante el recurso Open-HEREDEUX: Open HEurisitc Resource for Designin and Evaluation User eXperience.
Heuristic evaluation is one of the most used and discount usability evaluation methodologies. However, it has some manual steps that could be semi-automated to decrease the time spent to carry out the methodology and, in consequence, the budget invested in the development process of an interactive system. In addition, the quality of a product has evolved, in general terms, from the usability to the user experience. Therefore, according to both aspects, manual steps of the heuristic evaluation and evolution towards user experience, a new methodology based on heuristics is proposed for considering user experience in the design and evaluation steps of the development process of an interactive system. This methodology semi-automates the selection of the best heuristics for a specific interactive system, it supports heuristic evaluation per se and, finally, it provides quantitative, qualitative, summative and formative results through the ISO/IEC 25062:2006 standard for software engineering. Software product Quality Requirements and Evaluation (SQuaRE). Common Industry Format (CIF) for usability test reports. Furthermore, this methodology is implemented in Open-HEREDEUX: Open HEuristic REsource for Designing and Evaluating User eXperience.
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Rosa, Rodrigo Augusto 1986. "Sistemas teóricos em Kant = o controle da experiência mediante as máximas da razão." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/279557.

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Orientador: Zeljko Loparic
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Filosofia e Ciências Humanas
Made available in DSpace on 2018-08-17T16:21:43Z (GMT). No. of bitstreams: 1 Rosa_RodrigoAugusto_M.pdf: 1118499 bytes, checksum: b4221870a962d1016101688ffbfd1ad5 (MD5) Previous issue date: 2011
Resumo: Na filosofia kantiana os princípios sistematizadores do conhecimento são apenas regulativos. Neste caso, em oposição aos princípios constitutivos do entendimento que são objetivos a priori, os princípios reguladores são apenas subjetivos. Neste trabalho procuramos mostrar que apesar dos princípios sistematizadores serem máximas subjetivas, tais máximas são condição fundamental para elaboração racional da experiência. Em Kant, a racionalidade implica na submissão aos postulados da razão. No caso das ciências naturais, a elaboração racional da experiência deve ser em conformidade com as exigências sistemáticas do postulado teórico da razão. De acordo com Kant, assumimos as máximas da razão, não a partir de critérios objetivos, mas pela fé racional. Sendo assim, os princípios metafísicos da natureza, que Kant elabora para assegurar a racionalidade da física newtoniana, são máximas racionais que asseguram (mediante uma fé racional) um programa de pesquisa, antes do que uma ontologia
Abstract: In Kant's philosophy the systematizers principles of knowledge are just regulatives. In this case, in opposition to constitutive principles of understanding which are objectives a priori, the egulative principles are just subjectives. In this work seek to show that despite of systematizers rinciples are subjtives maxims, such maxims are fundamental condition to rational elaboration of experience. In Kant the rationality implies in submission to reason postulates. In the case of natural science, the rational elaboration of experience must be in conformity with systematic requirements of theoretical postulate of reason. According by Kant, we do not assume the maxims of reason from of objective criteria, but by rational faith. So, the metaphysical principles of nature, which Kant elaborates to ensure the rationality of Newtonian Physics, are rational maxims that ensure (by means of rational faith) a research program, even before an ontology
Mestrado
Historia da Filosofia Moderna
Mestre em Filosofia
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Books on the topic "Heuristic methodology"

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Moustakas, Clark E. Heuristic research: Design, methodology, and applications. Newbury Park: Sage Publications, 1990.

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Einstein's revolution: A study in heuristic. La Salle, Ill: Open Court, 1989.

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The heuristics debate. Oxford: Oxford University Press, 2011.

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Lepeshko, B. M. Ėvristicheskai͡a︡ rolʹ analogii v istoricheskom poznanii: Chelovek bez zontika : filosofskai͡a︡ publit͡s︡istika. Brest: Brestskai͡a︡ oblastnai͡a︡ tipografii͡a︡, 1999.

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Rădulescu, Sorin M. Ipoteză și euristică în cunoașterea socială. București: Editura Academiei Române, 1994.

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1953-, Tyson Katherine Bronk, ed. New foundations for scientific social and behavioral research: The heuristic paradigm. Boston: Allyn and Bacon, 1995.

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Wege-Bilder im altgriechischen Denken und ihre logisch-philosophische Relevanz. Würzburg: Königshausen & Neumann, 2001.

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Massimi, John J. Truck lane needs methodology: A heuristic approach to solve a five option discrete network design problem. Austin: Center for Transportation Research, Bureau of Engineering Research, University of Texas at Austin, 1985.

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Janonis, Osvaldas. Bibliografinė heuristika. Vilnius: Vilniaus Universiteto leidykla, 1999.

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Wolfgang, Bernard, and Kammler Steffen, eds. Analysis, eine Heuristik wissenschaftlicher Erkenntnis: Platonisch-aristotelische Methodologie vor dem Hintergrund ihres rhetorisch-technisch beeinflussten Wandels in Mathematik und Philosophie der Neuzeit und Moderne. Freiburg im Breisgau: Alber, 2010.

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Book chapters on the topic "Heuristic methodology"

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Olivas, Frumen, Fevrier Valdez, Oscar Castillo, and Patricia Melin. "Methodology." In Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic, 23–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70851-5_4.

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Rosing, K. E. "Heuristic Concentration: Its Care and Feeding." In Econometric Advances in Spatial Modelling and Methodology, 133–40. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2899-6_11.

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Zipp, Jan Sebastian. "3 METHODOLOGY - HEURISTIC TENDENCIES WITHIN THE DISSERTATION." In Programming Creativity, 35–42. Bielefeld, Germany: transcript Verlag, 2022. http://dx.doi.org/10.14361/9783839463161-004.

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Vrakas, Dimitris, and Ioannis Vlahavas. "A Heuristic for Planning Based on Action Evaluation." In Artificial Intelligence: Methodology, Systems, and Applications, 61–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46148-5_7.

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Bird, Drew. "Heuristic Methodology in Arts-Based Inquiry of Autobiographical Therapeutic Performance." In The Self in Performance, 169–79. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-53593-1_12.

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Murillo, Braulio, Silvia Vargas, Arturo Moquillaza, Luis Fernández, and Freddy Paz. "Usability Testing as a Complement of Heuristic Evaluation: A Case Study." In Design, User Experience, and Usability: Theory, Methodology, and Management, 434–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58634-2_32.

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Yakovlev, Konstantin, Egor Baskin, and Ivan Hramoin. "Finetuning Randomized Heuristic Search for 2D Path Planning: Finding the Best Input Parameters for R* Algorithm through Series of Experiments." In Artificial Intelligence: Methodology, Systems, and Applications, 278–85. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10554-3_29.

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Orozco, Anyela, Valentina Tabares, and Néstor Duque. "Methodology for Heuristic Evaluation of Web Accessibility Oriented to Types of Disabilities." In Lecture Notes in Computer Science, 91–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40250-5_9.

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Burton-Jones, Andrew, Veda C. Storey, Vijayan Sugumaran, and Sandeep Purao. "A Heuristic-Based Methodology for Semantic Augmentation of User Queries on the Web." In Conceptual Modeling - ER 2003, 476–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39648-2_37.

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Keserwani, Pankaj Kumar, Vedant Jha, Mahesh Chandra Govil, and Emmanuel S. Pilli. "Clickedroid: A Methodology Based on Heuristic Approach to Detect Mobile Ad-Click Frauds." In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences, 853–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7533-4_68.

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Conference papers on the topic "Heuristic methodology"

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Puentes, Lucas, Jonathan Cagan, and Christopher McComb. "Automated Heuristic Induction From Human Design Data." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22151.

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Abstract Through experience, designers develop guiding principles, or heuristics, to aid decision-making in familiar design domains. Generalized versions of common design heuristics have been identified across multiple domains and applied by novices to design problems. Previous work leveraged a sample of these common heuristics to assist in an agent-based design process, which typically lacks heuristics. These predefined heuristics were translated into sequences of specifically applied design changes that followed the theme of the heuristic. To overcome the upfront burden, need for human interpretation, and lack of generality of this manual process, this paper presents a methodology that induces frequent heuristic sequences from an existing timeseries design change dataset. Individual induced sequences are then algorithmically grouped based on similarity to form groups that each represent a shared general heuristic. The heuristic induction methodology is applied to data from two human design studies in different design domains. The first dataset, collected from a truss design task, finds a highly similar set of general heuristics used by human designers to that which was hand selected for the previous computational agent study. The second dataset, collected from a cooling system design problem, demonstrates further applicability and generality of the heuristic induction process. Through this heuristic induction technique, designers working in a specified domain can learn from others’ prior problem-solving strategies and use these strategies in their own future design problems.
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Pulka, A. "A Heuristic Fault Dictionary Reduction Methodology." In 2007 14th IEEE International Conference on Electronics, Circuits and Systems (ICECS '07). IEEE, 2007. http://dx.doi.org/10.1109/icecs.2007.4511190.

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Vesković, Slavko, Sanjin Milinković, Gordan Stojić, Norbert Pavlović, and Ivan Belošević. "One Approach to Forecasting Methodology in Rail Passenger Traffic." In TRANSPORT FOR TODAY'S SOCIETY. Faculty of Technical Sciences Bitola, 2021. http://dx.doi.org/10.20544/tts2021.1.1.21.p23.

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Abstract –The paper presents a methodology for predicting the number of passengers on a line that is being modernized by increasing the existing speed to 160 km / h. The forecast was made for two scenarios: without project and with project. The process is complex and involves the application of correlation methods, growth rates, surveys, and heuristic forecasting models. Keywords –forecast, railway, heuristics, surveys.
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Oliveira, Diogo N., Carlos L. B. Silva, Wesley P. Calixto, Aylton J. Alves, Viviane Gomes, and Jose Luis Domingos. "Heuristic methodology for horizontal multilayer soil stratification." In 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2016. http://dx.doi.org/10.1109/eeeic.2016.7555652.

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Crespo-Pereira, D., D. del Rio-Vilas, J. L. Crespo-Marino, and A. Garcia-del-Valle. "A systematic heuristic rules analysis methodology for routing problems." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009). IEEE, 2009. http://dx.doi.org/10.1109/ieem.2009.5373000.

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Cattaneo, Riccardo, Christian Pilato, Gianluca C. Durelli, Marco D. Santambrogio, and Donatella Sciuto. "SMASH: A heuristic methodology for designing partially reconfigurable MPSoCs." In 2013 International Symposium on Rapid System Prototyping (RSP). IEEE, 2013. http://dx.doi.org/10.1109/rsp.2013.6683965.

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Drake, Keith C., Richard Y. Kim, and Tony Y. Kim. "Decision criterion processing methodology for heuristic assessment of classification models." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Nagaraj Nandhakumar. SPIE, 1994. http://dx.doi.org/10.1117/12.179040.

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Bashiri, Mahdi, and Farshid Samaei. "Heuristic and metaheuristic structure of response surface methodology in process optimization." In 2011 IEEE MTT-S International Microwave Workshop Series on Innovative Wireless Power Transmission: Technologies, Systems, and Applications (IMWS 2011). IEEE, 2011. http://dx.doi.org/10.1109/imws.2011.6115422.

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Baker, Kevin, Saul Greenberg, and Carl Gutwin. "Empirical development of a heuristic evaluation methodology for shared workspace groupware." In the 2002 ACM conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/587078.587093.

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Cerezo, Yolanda, Ignacio Lopez, Alfredo Cuesta, and Luis Grau. "Methodology for tuning a multirate PID controller based on heuristic optimization." In IECON 2009 - 35th Annual Conference of IEEE Industrial Electronics (IECON 2009). IEEE, 2009. http://dx.doi.org/10.1109/iecon.2009.5414840.

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Reports on the topic "Heuristic methodology"

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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