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Статті в журналах з теми "Heuristic processes"
Özcan, Ender, Mustafa Misir, Gabriela Ochoa, and Edmund K. Burke. "A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling." International Journal of Applied Metaheuristic Computing 1, no. 1 (January 2010): 39–59. http://dx.doi.org/10.4018/jamc.2010102603.
Повний текст джерелаCao, Qianning. "The Availability Heuristic." Communications in Humanities Research 27, no. 1 (March 1, 2024): 271–74. http://dx.doi.org/10.54254/2753-7064/27/20231715.
Повний текст джерелаCavarretta, Fabrice L. "On the hard problem of selecting bundles of rules: a conceptual exploration of heuristic emergence processes." Management Decision 59, no. 7 (May 10, 2021): 1598–616. http://dx.doi.org/10.1108/md-09-2019-1322.
Повний текст джерелаGragson, Ted L. "Heuristic Mapping of Frontier Processes." Field Methods 14, no. 4 (November 2002): 368–89. http://dx.doi.org/10.1177/152582202237726.
Повний текст джерелаGrodzinsky, Yosef, and Alexander Marek. "Algorithmic and heuristic processes revisited." Brain and Language 33, no. 2 (March 1988): 216–25. http://dx.doi.org/10.1016/0093-934x(88)90065-x.
Повний текст джерелаDu, Ruibo. "Availability Heuristic: An Overview and Applications." Highlights in Business, Economics and Management 1 (November 28, 2022): 153–59. http://dx.doi.org/10.54097/hbem.v1i.2548.
Повний текст джерелаWimsatt, William C. "Heuristics refound." Behavioral and Brain Sciences 23, no. 5 (October 2000): 766–67. http://dx.doi.org/10.1017/s0140525x00513442.
Повний текст джерелаWeis, Patrick P., and Eva Wiese. "Speed Considerations Can Be of Little Concern When Outsourcing Thought to External Devices." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 14–18. http://dx.doi.org/10.1177/1541931218621004.
Повний текст джерелаJasper, Fabian, and Tuulia M. Ortner. "The Tendency to Fall for Distracting Information While Making Judgments." European Journal of Psychological Assessment 30, no. 3 (January 1, 2014): 193–207. http://dx.doi.org/10.1027/1015-5759/a000214.
Повний текст джерелаKarakoyun, Gülen Önal, and Erol Asiltürk. "Analysis of Pre-Service Science Teachers’ Heuristic Reasoning Processes about Hydrogen Bonding." Journal of Science Learning 4, no. 1 (November 27, 2020): 50–60. http://dx.doi.org/10.17509/jsl.v4i1.23737.
Повний текст джерелаДисертації з теми "Heuristic processes"
Liersch, Michael James. "Testing the boundary conditions of biases resulting from heuristic processes /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC IP addresses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3266844.
Повний текст джерелаDummel, Sebastian [Verfasser], and Jan [Akademischer Betreuer] Rummel. "Cognitive Processes Underlying Heuristic Decision Making / Sebastian Dummel ; Betreuer: Jan Rummel." Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/1180615336/34.
Повний текст джерелаLu, Yufeng. "Scheduling of Wafer Test Processes in Semiconductor Manufacturing." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/10153.
Повний текст джерелаMaster of Science
Lusena, Christopher. "Finite memory policies for partially observable Markov decision processes." Lexington, Ky. : [University of Kentucky Libraries], 2001. http://lib.uky.edu/ETD/ukycosc2001d00021/lusena01.pdf.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains viii, 89 p. : ill. Includes abstract. Includes bibliographical references (p. 81-86).
Zambrano, Abad Julio Cesar. "Identification of nonlinear processes based on Wiener-Hammerstein models and heuristic optimization." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/171739.
Повний текст джерела[CA] En molts camps de l'enginyeria els models matemàtics són utilitzats per a descriure el comportament dels sistemes, processos o fenòmens. Hui dia, existeixen diverses tècniques o mètodes que poden ser usades per a obtindre aquests models. A causa de la seua versatilitat i simplicitat, sovint es prefereixen els mètodes d'identificació de sistemes. En general, aquests mètodes requereixen la definició d'una estructura i l'estimació computacional dels paràmetres que la componen utilitzant un conjunt de procediments i mesuraments dels senyals d'entrada i eixida del sistema. En el context de la identificació de sistemes no lineals, un desafiament important és la selecció de l'estructura. En el cas que el sistema a identificar presente una no linealitat de tipus estàtic, els models orientats a blocs, poden ser útils per a definir adequadament una estructura. No obstant això, el dissenyador pot enfrontar-se a cert grau d'incertesa en seleccionar el model orientat a blocs adequat en concordança amb el sistema real. A més d'aquest inconvenient, s'ha de tindre en compte que l'estimació d'alguns models orientats a blocs no és senzilla, com és el cas dels models de Wiener-Hammerstein que consisteixen en un bloc NL enmig de dos subsistemes LTI. La presència de dos subsistemes LTI en els models de Wiener-Hammerstein és el que principalment dificulta la seua estimació. Generalment, el procediment d'identificació comença amb l'estimació de la dinàmica lineal, i el principal desafiament és dividir aquesta dinàmica entre els dos blocs LTI. En general, això implica una alta interacció de l'usuari per a desenvolupar diversos procediments, i el model final estimat depén principalment d'aquestes etapes prèvies. L'objectiu d'aquesta tesi és contribuir a la identificació dels models de Wiener-Hammerstein. Aquesta contribució es basa en la presentació de dos nous algorismes per a atendre aspectes específics que no han sigut adreçats en la identificació d'aquesta mena de models. El primer algorisme, denominat WH-EA (Algorisme Evolutiu per a la identificació de sistemes de Wiener-Hammerstein), permet estimar tots els paràmetres d'un model de Wiener-Hammerstein amb un sol procediment a partir d'un model dinàmic lineal. Amb WH-EA, una bona estimació no depén de procediments intermedis ja que l'algorisme evolutiu simultàniament busca la millor distribució de la dinàmica, afina la ubicació dels pols i els zeros i captura la no linealitat estàtica. Un altre avantatge important d'aquest algorisme és que sota consideracions específiques i utilitzant un senyal d'excitació adequada, és possible crear un enfocament unificat que permet també la identificació dels models de Wiener i Hammerstein, que són casos particulars del model de Wiener-Hammerstein quan un dels seus blocs LTI manca de dinàmica. L'interessant d'aquest enfocament unificat és que amb un mateix algorisme és possible identificar els models de Wiener, Hammerstein i Wiener-Hammerstein sense que l'usuari especifique per endavant el tipus d'estructura a identificar. El segon algorisme anomenat WH-MOEA (Algorisme evolutiu multi-objectiu per a la identificació de models de Wiener-Hammerstein), permet abordar el problema d'identificació com un Problema d'Optimització Multiobjectiu (MOOP). Sobre la base d'aquest algorisme es presenta un nou enfocament per a la identificació dels models de Wiener-Hammerstein considerant un compromís entre la precisió aconseguida i la complexitat del model. Amb aquest enfocament és possible comparar diversos models amb diferents prestacions incloent com un objectiu d'identificació el nombre de paràmetres que pot tindre el model estimat. L'aportació d'aquest enfocament se sustenta en el fet que en molts problemes d'enginyeria els requisits de disseny i les preferències de l'usuari no sempre apunten a la precisió del model com un únic objectiu, sinó que moltes vegades la complexitat és també un factor predominant en la presa de decisions.
[EN] In several engineering fields, mathematical models are used to describe the behaviour of systems, processes or phenomena. Nowadays, there are several techniques or methods for obtaining mathematical models. Because of their versatility and simplicity, system identification methods are often preferred. Generally, systems identification methods require defining a structure and estimating computationally the parameters that make it up, using a set of procedures y measurements of the system's input and output signals. In the context of nonlinear system identification, a significant challenge is the structure selection. In the case that the system to be identified presents a static type of nonlinearity, block-oriented models can be useful to define a suitable structure. However, the designer may face a certain degree of uncertainty when selecting the block-oriented model in accordance with the real system. In addition to this inconvenience, the estimation of some block-oriented models is not an easy task, as is the case with the Wiener-Hammerstein models consisting of a NL block in the middle of two LTI subsystems. The presence of two LTI subsystems in the Wiener-Hammerstein models is what mainly makes their estimation difficult. Generally, the identification procedure begins with the estimation of the linear dynamics, and the main challenge is to split this dynamic between the two LTI block. Usually, this implies a high user interaction to develop several procedures, and the final model estimated mostly depends on these previous stages. The aim of this thesis is to contribute to the identification of the Wiener-Hammerstein models. This contribution is based on the presentation of two new algorithms to address specific aspects that have not been addressed in the identification of this type of model. The first algorithm, called WH-EA (An Evolutionary Algorithm for Wiener-Hammerstein System Identification), allows estimating all the parameters of a Wiener-Hammerstein model with a single procedure from a linear dynamic model. With WH-EA, a good estimate does not depend on intermediate procedures since the evolutionary algorithm looks for the best dynamic division, while the locations of the poles and zeros are fine-tuned, and nonlinearity is captured simultaneously. Another significant advantage of this algorithm is that under specific considerations and using a suitable excitation signal; it is possible to create a unified approach that also allows the identification of Wiener and Hammerstein models which are particular cases of the Wiener-Hammerstein model when one of its LTI blocks lacks dynamics. What is interesting about this unified approach is that with the same algorithm, it is possible to identify Wiener, Hammerstein, and Wiener-Hammerstein models without the user specifying in advance the type of structure to be identified. The second algorithm called WH-MOEA (Multi-objective Evolutionary Algorithm for Wiener-Hammerstein identification), allows to address the identification problem as a Multi-Objective Optimisation Problem (MOOP). Based on this algorithm, a new approach for the identification of Wiener-Hammerstein models is presented considering a compromise between the accuracy achieved and the model complexity. With this approach, it is possible to compare several models with different performances, including as an identification target the number of parameters that the estimated model may have. The contribution of this approach is based on the fact that in many engineering problems the design requirements and user's preferences do not always point to the accuracy of the model as a single objective, but many times the complexity is also a predominant factor in decision-making.
Zambrano Abad, JC. (2021). Identification of nonlinear processes based on Wiener-Hammerstein models and heuristic optimization [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/171739
TESIS
Dai, Peng. "FASTER DYNAMIC PROGRAMMING FOR MARKOV DECISION PROCESSES." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/428.
Повний текст джерелаArcher, Sandra. "Stochastic resource constrained project scheduling with stochastic task insertions problems." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002491.
Повний текст джерелаLiu, Xin. "Heuristic strategies for the single-item lot-sizing problem with convex variable production cost." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3642917X.
Повний текст джерелаTai, Chia-Hung C. "A stochastic project scheduling problem with resource constraints /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842569.
Повний текст джерелаLiu, Xin, and 劉忻. "Heuristic strategies for the single-item lot-sizing problem with convex variable production cost." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B3642917X.
Повний текст джерелаКниги з теми "Heuristic processes"
Aldous, D. J. Probability approximations via the Poisson clumping heuristic. New York: Springer-Verlag, 1989.
Знайти повний текст джерелаKindl, Mark R. A stochastic approach to the weighted-region problem: 1. the design of the path annealing algorithm. Monterey, Calif: Naval Postgraduate School, 1991.
Знайти повний текст джерелаGigerenzer, Gerd. Simple heuristics that make us smart. New York: Oxford University Press, 1999.
Знайти повний текст джерелаCasas, Arturo. Procesos da historiografía literaria galega Para un debate crítico. Venice: Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-530-8.
Повний текст джерелаAldous, David. Probability Approximations via the Poisson Clumping Heuristic. Springer New York, 2010.
Знайти повний текст джерелаAldous, David. Probability Approximations Via the Poisson Clumping Heuristic. Springer London, Limited, 2013.
Знайти повний текст джерелаEvans, John Lebron. A heuristic procedure to evaluate investment decisions for flexible process equipment for electronic assembly: A dissertation. 1991.
Знайти повний текст джерелаKindt, Sara, Liesbet Goubert, Maarten Vansteenkiste, and Tine Vervoort. Chronic Pain and Interpersonal Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190627898.003.0007.
Повний текст джерелаGerken, Mikkel. The Psychology of Knowledge Ascriptions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803454.003.0006.
Повний текст джерелаHandbook of Research on Applied Optimization Methodologies in Manufacturing Systems. IGI Global, 2017.
Знайти повний текст джерелаЧастини книг з теми "Heuristic processes"
Kolobov, Mausam, and Andrey Kolobov. "Heuristic Search Algorithms." In Planning with Markov Decision Processes, 59–82. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-01559-5_4.
Повний текст джерелаReijers, Hajo A. "Heuristic Workflow Redesign." In Design and Control of Workflow Processes, 207–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36615-6_6.
Повний текст джерелаBeugnon, Guy. "The Heuristic Value of Visual Spatial Orientation in Insects." In Cognitive Processes and Spatial Orientation in Animal and Man, 266–74. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3531-0_21.
Повний текст джерелаYang, Ziqi, Zhile Yang, Kang Li, Wasif Naeem, and Kailong Liu. "Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes." In Communications in Computer and Information Science, 262–71. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6373-2_27.
Повний текст джерелаDas, N. C. "Bivariate Normal Distribution and Heuristic-Algorithm of BIVNOR for Generating Biquantile Pairs." In Decision Processes by Using Bivariate Normal Quantile Pairs, 61–90. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2364-1_4.
Повний текст джерелаCossins, Anne. "The Nature and Effects of Adversarialism: Sites of Activation for Heuristic Reasoning Processes." In Closing the Justice Gap for Adult and Child Sexual Assault, 245–75. London: Palgrave Macmillan UK, 2020. http://dx.doi.org/10.1057/978-1-137-32051-3_6.
Повний текст джерелаFountas, Nikolaos A., Ioannis Papantoniou, John Kechagias, Dimitrios E. Manolakos, and Nikolaos M. Vaxevanidis. "Implementation of Modern Meta-Heuristic Algorithms for Optimizing Machinability in Dry CNC Finish-Turning of AISI H13 Die Steel Under Annealed and Hardened States." In Evolutionary Optimization of Material Removal Processes, 45–59. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003258421-4.
Повний текст джерелаSutterlütti, Simon, and Stefan Meretz. "Seed Form Theory." In Make Capitalism History, 191–230. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-14645-9_7.
Повний текст джерелаSouza, Filipe, Diarmuid Grimes, and Barry O’Sullivan. "A Large Neighborhood Search Approach for the Data Centre Machine Reassignment Problem." In Communications in Computer and Information Science, 397–408. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_31.
Повний текст джерелаFernandes, Domingos. "Examining Effects of Heuristic Processes on the Problem-Solving Education of Preservice Mathematics Teachers." In Mathematical Problem Solving and New Information Technologies, 313–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58142-7_22.
Повний текст джерелаТези доповідей конференцій з теми "Heuristic processes"
Barhate, Yash, Daniel Casas-Orozco, Daniel J. Laky, Gintaras V. Reklaitis, and Zoltan K. Nagy. "Hybrid Rule-based and Optimization-driven Decision Framework for the Rapid Synthesis of End-to-End Optimal (E2EO) and Sustainable Pharmaceutical Manufacturing Flowsheets." In Foundations of Computer-Aided Process Design, 261–66. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.115998.
Повний текст джерелаAllen, R. Cory, Youngdae Kim, and Dimitri J. Papageorgiou. "A GRASP Heuristic for Solving an Acquisition Function Embedded in a Parallel Bayesian Optimization Framework." In Foundations of Computer-Aided Process Design, 237–44. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.173606.
Повний текст джерелаLynch, Hailey G., Aaron Bjarnason, Daniel J. Laky, Cameron J. Brown, and Alexander W. Dowling. "Optimizing Batch Crystallization with Model-based Design of Experiments." In Foundations of Computer-Aided Process Design, 308–15. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.152239.
Повний текст джерелаHorn, S., G. Weigert, and E. Beier. "Heuristic optimization strategies for scheduling of manufacturing processes." In 2006 29th International Spring Seminar on Electronics Technology. IEEE, 2006. http://dx.doi.org/10.1109/isse.2006.365142.
Повний текст джерелаEtemad, Shahab. "Heuristic view of NLO processes in conjugated polymers." In New York - DL tentative, edited by Daniel L. Akins and Robert R. Alfano. SPIE, 1992. http://dx.doi.org/10.1117/12.56705.
Повний текст джерелаEtemad, Shahab. "A heuristic view of NLO processes in conjugated polymers." In Recent Advances in the Uses of Light in Physics, Chemistry, Engineering, and Medicine. SPIE, 1992. http://dx.doi.org/10.1117/12.2322311.
Повний текст джерелаSendrescu, Dorin, Eugen Bobasu, and Dan Popescu. "Identification techniques based on heuristic optimization for propagation processes." In 2013 2nd International Conference on Systems and Computer Science (ICSCS). IEEE, 2013. http://dx.doi.org/10.1109/icconscs.2013.6632046.
Повний текст джерелаSarno, Riyanarto, Fitrianing Haryadita, Dwi Sunaryono, and Abdul Munif. "Model discovery of parallel business processes using modified Heuristic Miner." In 2015 International Conference on Science in Information Technology (ICSITech). IEEE, 2015. http://dx.doi.org/10.1109/icsitech.2015.7407772.
Повний текст джерелаGavrikov, Mikhail M., Anna Y. Mezentseva, and Roman M. Sinetsky. "Heuristic Techniques for Constructing Hidden Markov Models of Stochastic Processes." In 2023 International Russian Smart Industry Conference (SmartIndustryCon). IEEE, 2023. http://dx.doi.org/10.1109/smartindustrycon57312.2023.10110792.
Повний текст джерелаPatel, Himanshukumar Rajendrabhai. "Lévy Distribution Meta-Heuristic Fuzzy-Based Optimization Algorithm for Optimal Framework Design of Type-2 Fuzzy Controller: Subject to Perturbations." In International Electronic Conference on Processes. Basel Switzerland: MDPI, 2024. http://dx.doi.org/10.3390/proceedings2024105029.
Повний текст джерелаЗвіти організацій з теми "Heuristic processes"
Bobashev, Georgiy, John Holloway, Eric Solano, and Boris Gutkin. A Control Theory Model of Smoking. RTI Press, June 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.
Повний текст джерелаGaleano-Ramírez, Franky Juliano, Nicolás Martínez-Cortés, Carlos D. Rojas-Martínez, and Margaret Guerrero. Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches. Banco de la República, August 2021. http://dx.doi.org/10.32468/be.1168.
Повний текст джерелаYan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.
Повний текст джерелаRaychev, Nikolay. Can human thoughts be encoded, decoded and manipulated to achieve symbiosis of the brain and the machine. Web of Open Science, October 2020. http://dx.doi.org/10.37686/nsrl.v1i2.76.
Повний текст джерелаWillson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1996. http://dx.doi.org/10.55274/r0010423.
Повний текст джерелаEngel, 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.
Повний текст джерела