Bibliografie tematiche / Optimization-based evaluation

Letteratura scientifica selezionata sul tema "Optimization-based evaluation"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 11 febbraio 2022

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Articoli di riviste sul tema "Optimization-based evaluation"

Li, Han, Leonardo Gutierrez, Masakazu Kobayashi, Osamu Kuwazuru, Hiroyuki Toda e Rafael Batres. "A Numerical Evaluation of an Infill Sampling Criterion in Artificial Neural Network-Based Optimization". International Journal of Computer Theory and Engineering 6, n. 3 (2014): 272–77. http://dx.doi.org/10.7763/ijcte.2014.v6.874.

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Wang, Hai Feng, Hong E. Ren, Kun Zhang e Hong Xu Wang. "Mining Methods Based on Vague Optimization Evaluation". Advanced Materials Research 659 (gennaio 2013): 128–33. http://dx.doi.org/10.4028/www.scientific.net/amr.659.128.

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Method based on vague optimization evaluation is vague pattern recognition. There are six detailed steps of application. The first, Set up Techno-economic indicator system. Secondly set up preparative optimization scheme sets. Thirdly set up optimal scheme in theory. It is made up of each Techno-economic indicator optimal data. Fourthly transform techno-economic input data into vague data. The fifth, Calculating similarly measures. Similarity measures will be evaluated between preparative optimization scheme vague sets and optimal scheme in theory. The last is vague optimization evaluation. The weight of each preparative optimization scheme is given. The data of weighted similarity measures by the weight factors are obtained. And applying them we obtain the good and bad sort of vague optimization scheme. The new similarity measures formula between vague sets is given. The formula is indispensable in the method of vague optimization evaluation. Application examples show that the Vague optimization evaluation method to the conclusion is reliable.

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Huang, Li, e Hong Bing Cheng. "Query Optimization Based on Data Provenance". Advanced Materials Research 186 (gennaio 2011): 586–90. http://dx.doi.org/10.4028/www.scientific.net/amr.186.586.

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Data Provenance is a key of evaluating authority and uncertainty in data query. Query process technology based on data provenance overcomes the shortcomings of traditional data integration on query quality and efficiency. This paper constructs a data model of heterogeneous data sources provenance, i.e. Semiring Provenance, based on tracing provenance of data origination and evolution. It’s proved to be effective in creating mapping between heterogeneous schemas and optimizing query quality and authority evaluation. Experiments using real data set show that our approach provides an effective and scalable solution for query optimization technology.

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Wolinski, David, Stephen J. Guy, Anne-Hélène Olivier, Ming C. Lin, Dinesh Manocha e Julien Pettré. "Optimization-based Pedestrian Model Calibration for Evaluation". Transportation Research Procedia 2 (2014): 228–36. http://dx.doi.org/10.1016/j.trpro.2014.09.041.

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Al-Naeem, Tariq, Ian Gorton, Fethi Rabhi e Boualem Benatallah. "Tool support for optimization-based architectural evaluation". ACM SIGSOFT Software Engineering Notes 30, n. 4 (luglio 2005): 1–4. http://dx.doi.org/10.1145/1082983.1082954.

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Guo, Qi Feng, Zhao Cai Zhang, Zheng Sheng Li, Kun Liu e Huan Xin Liu. "Mining Method Optimization Based on Fuzzy Comprehensive Evaluation". Advanced Materials Research 616-618 (dicembre 2012): 365–69. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.365.

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According to the 8000t/d production capacity planning and high in-situ stress, high rockburst proneness in deep mining of Sanshandao Gold Mine, three mining methods were compared and analyzed from safety, technical and economic indexes. Fuzzy optimization model was built to select the optimal mining method based on mining indexes quantification and fuzzy analysis of mining indexes. The conclusion shows that Alternate Room-Pillar Mining Method with Ascending Backfill is the optimal mining method to satisfy the safety and high efficiency demand of deep mining in Sanshandao Gold Mine.

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SADAKANE, Kunihiko, Nadia Takki CHEBIHI e Takeshi TOKUYAMA. "Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization". Interdisciplinary Information Sciences 8, n. 2 (2002): 219–34. http://dx.doi.org/10.4036/iis.2002.219.

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End, G., H. Treuer e R. Boesecke. "Optimization and evaluation of landmark-based image correlation". Physics in Medicine and Biology 37, n. 1 (1 gennaio 1992): 261–71. http://dx.doi.org/10.1088/0031-9155/37/1/019.

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Luo, Huitao, e Yujin Zhang. "Evaluation based segmentation algorithm optimization: Idea and system". Journal of Electronics (China) 16, n. 2 (aprile 1999): 109–16. http://dx.doi.org/10.1007/s11767-999-1030-2.

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Tu, J., K. K. Choi e Y. H. Park. "A New Study on Reliability-Based Design Optimization". Journal of Mechanical Design 121, n. 4 (1 dicembre 1999): 557–64. http://dx.doi.org/10.1115/1.2829499.

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This paper presents a general approach for probabilistic constraint evaluation in the reliability-based design optimization (RBDO). Different perspectives of the general approach are consistent in prescribing the probabilistic constraint, where the conventional reliability index approach (RIA) and the proposed performance measure approach (PMA) are identified as two special cases. PMA is shown to be inherently robust and more efficient in evaluating inactive probabilistic constraints, while RIA is more efficient for violated probabilistic constraints. Moreover, RBDO often yields a higher rate of convergence by using PMA, while RIA yields singularity in some cases.

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Tesi sul tema "Optimization-based evaluation"

Alvarez, Mendoza Patricio. "Evaluating the effectiveness of signal timing optimization based on microscopic simulation evaluation". FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/1271.

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The optimization of the timing parameters of traffic signals provides for efficient operation of traffic along a signalized transportation system. Optimization tools with macroscopic simulation models have been used to determine optimal timing plans. These plans have been, in some cases, evaluated and fine tuned using microscopic simulation tools. A number of studies show inconsistencies between optimization tool results based on macroscopic simulation and the results obtained from microscopic simulation. No attempts have been made to determine the reason behind these inconsistencies. This research investigates whether adjusting the parameters of macroscopic simulation models to correspond to the calibrated microscopic simulation model parameters can reduce said inconsistencies. The adjusted parameters include platoon dispersion model parameters, saturation flow rates, and cruise speeds. The results from this work show that adjusting cruise speeds and saturation flow rates can have significant impacts on improving the optimization/macroscopic simulation results as assessed by microscopic simulation models.

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Johnson, Christian Axel. "Optimization-based biomechanical evaluation of isometric exertions on a brake wheel". Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-03032009-041004/.

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Martins, Pedro Miguel Pereira Serrano. "Evaluation and optimization of a session-based middleware for data management". Master's thesis, Faculdade de Ciências e Tecnologia, 2014. http://hdl.handle.net/10362/12609.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
The current massive daily production of data has created a non-precedent opportunity for information extraction in many domains. However, this huge rise in the quantities of generated data that needs to be processed, stored, and timely delivered, has created several new challenges. In an effort to attack these challenges [Dom13] proposed a middleware with the concept of a Session capable of dynamically aggregating, processing and disseminating large amounts of data to groups of clients, depending on their interests. However, this middleware is deployed on a commercial cloud with limited processing support in order to reduce its costs. Moreover, it does not explore the scalability and elasticity capabilities provided by the cloud infrastructure, which presents a problem even if the associated costs may not be a concern. This thesis proposes to improve the middleware’s performance and to add to it the capability of scaling when inside a cloud by requesting or dismissing additional instances. Additionally, this thesis also addresses the scalability and cost problems by exploring alternative deployment scenarios for the middleware, that consider free infrastructure providers and open-source cloud management providers. To achieve this, an extensive evaluation of the middleware’s architecture is performed using a profiling tool and several test applications. This information is then used to propose a set of solutions for the performance and scalability problems, and then a subset of these is implemented and tested again to evaluate the gained benefits.

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Wang, Dongwei. "A REUSED DISTANCE BASED ANALYSIS AND OPTIMIZATION FOR GPU CACHE". VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4840.

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As a throughput-oriented device, Graphics Processing Unit(GPU) has already integrated with cache, which is similar to CPU cores. However, the applications in GPGPU computing exhibit distinct memory access patterns. Normally, the cache, in GPU cores, suffers from threads contention and resources over-utilization, whereas few detailed works excavate the root of this phenomenon. In this work, we adequately analyze the memory accesses from twenty benchmarks based on reuse distance theory and quantify their patterns. Additionally, we discuss the optimization suggestions, and implement a Bypassing Aware(BA) Cache which could intellectually bypass the thrashing-prone candidates. BA cache is a cost efficient cache design with two extra bits in each line, they are flags to make the bypassing decision and find the victim cache line. Experimental results show that BA cache can improve the system performance around 20\% and reduce the cache miss rate around 11\% compared with traditional design.

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McMulkin, Mark L. "Investigation and empirical evaluation of inputs to optimization-based biomechanical trunk models". Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-10032007-172024/.

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Garcés, Monge Luis. "Knowledge-based configuration : a contribution to generic modeling, evaluation and evolutionary optimization". Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2019. http://www.theses.fr/2019EMAC0003/document.

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Dans un contexte de personnalisation de masse, la configuration concourante du produit et de son processus d’obtention constituent un défi industriel important : de nombreuses options ou alternatives, de nombreux liens ou contraintes et un besoin d’optimisation des choix réalisés doivent être pris en compte. Ce problème est intitulé O-CPPC (Optimization of Concurrent Product and Process Configuration). Nous considérons ce problème comme un CSP (Constraints Satisfaction Problem) et l’optimisons avec des algorithmes évolutionnaires. Un état de l’art fait apparaître : i) que la plupart des travaux de recherche sont illustrés sur des exemples spécifiques à un cas industriel ou académique et peu représentatifs de la diversité existante ; ii) un besoin d’amélioration des performances d’optimisation afin de gagner en interactivité et faire face à des problèmes de taille plus conséquente. En réponse au premier point, ces travaux de thèse proposent les briques d’un modèle générique du problème O-CPPC. Ces briques permettent d’architecturer le produit et son processus d’obtention. Ce modèle générique est utilisé pour générer un benchmark réaliste pour évaluer les algorithmes d’optimisation. Ce benchmark est ensuite utilisé pour analyser la performance de l’approche évolutionnaire CFB-EA. L’une des forces de cette approche est de proposer rapidement un front de Pareto proche de l’optimum. Pour répondre au second point, une amélioration de cette méthode est proposée puis évaluée. L’idée est, à partir d’un premier front de Pareto approximatif déterminé très rapidement, de demander à l’utilisateur de choisir une zone d’intérêt et de restreindre la recherche de solutions uniquement sur cette zone. Cette amélioration entraine des gains de temps de calcul importants
In a context of mass customization, the concurrent configuration of the product and its production process constitute an important industrial challenge: Numerous options or alternatives, numerous links or constraints and a need to optimize the choices made. This problem is called O-CPPC (Optimization of Concurrent Product and Process Configuration). We consider this problem as a CSP (Constraints Satisfaction Problem) and optimize it with evolutionary algorithms. A state of the art shows that: i) most studies are illustrated with examples specific to an industrial or academic case and not representative of the existing diversity; ii) a need to improve optimization performance in order to gain interactivity and face larger problems. In response to the first point, this thesis proposes a generic model of the O-CPPC problem. This generic model is used to generate a realistic benchmark for evaluating optimization algorithms. This benchmark is then used to analyze the performance of the CFB-EA evolutionary approach. One of the strengths of this approach is to quickly propose a Pareto front near the optimum. To answer the second point, an improvement of this method is proposed and evaluated. The idea is, from a first approximate Pareto front, to ask the user to choose an area of interest and to restrict the search for solutions only on this area. This improvement results in significant computing time savings

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Ghimire, Rajiv, e Mustafa Noor. "Evaluation and Optimization of Quality of Service (QoS) In IP Based Networks". Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3920.

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The purpose of this thesis is to evaluate and analyze the performance of RED (Random Early Detection) algorithm and our proposed RED algorithm. As an active queue management RED has been considered an emerging issue in the last few years. Quality of service (QoS) is the latest issue in today’s internet world. The name QoS itself signifies that special treatment is given to the special traffic. With the passage of time the network traffic grew in an exponential way. With this, the end user failed to get the service for what they had paid and expected for. In order to overcome this problem, QoS within packet transmission came into discussion in internet world. RED is the active queue management system which randomly drops the packets whenever congestion occurs. It is one of the active queue management systems designed for achieving QoS. In order to deal with the existing problem or increase the performance of the existing algorithm, we tried to modify RED algorithm. Our purposed solution is able to minimize the problem of packet drop in a particular duration of time achieving the desired QoS. An experimental approach is used for the validation of the research hypothesis. Results show that the probability of packet dropping in our proposed RED algorithm during simulation scenarios significantly minimized by early calculating the probability value and then by calling the pushback mechanism according to that calculated probability value.
+46739567385(Rajiv), +46762125426(Mustafa)

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Moalemiyan, Mitra. "Optimization and evaluation of a pectin-based composite coating on mango and cucumber". Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112542.

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The current research was designed to determine the effects of different compositions of a pectin-based emulsion coating on the quality indices and shelf life extension of mango and cucumber. The fruits were treated with pectin-based coating (coated) or kept as such (control), and stored under different temperatures and relative humidities. Samples of fruits were then tested periodically to note the changes in quality as determined by visual observation, weight loss, respiration rate, color, firmness, pH, titrable acidity (TA), total soluble solids (TSS), chlorophyll content, and decay. Coated fruits displayed retarded color development, higher TA, higher chlorophyll content, greater firmness, lower pH, and lower TSS. Loss in weight and CO 2 evolution were also reduced significantly. The results of this research suggested that pectin-based coating increased the shelf life of mango and cucumber more than 100% without perceptible losses in quality.

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Salehi, H. (Hamed). "A mean-variance portfolio optimization based on firm characteristics and its performance evaluation". Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201305201300.

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A flexible and financially sensible methodology that takes quantifiable firm’s characteristics into account when constructing a portfolio inspired by Brandt et al. (2009) and Hjalmarsson and Manchev (2010) is described. The method imposes the weights to be a linear function of characteristics for investor that maximizes return and penalizes for amount of volatility and solves the optimization model with a statistical method suggested by Britten-Jones (1999). It is designed in a way to be dollar-and beta-neutral. In order to exploit the information of some of the return-predictive factors with the described method, we form various single- and combined-factor strategies on a portfolio of 76 stocks out of FTSE100 in the period of January 2000 to October 2011 both in-sample and 60-rolling window out-of-sample. The results show that the designed strategies based on abnormal return, Jenson’s alpha and bootstrapped Sharpe-ratio lead to better performance in most of the designed strategies. Holding-based and expectation-based evaluation methods also support our results.

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Kashfi, S. Ruhollah. "Towards Evaluation of the Adaptive-Epsilon-R-NSGA-II algorithm (AE-R-NSGA-II) on industrial optimization problems". Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10841.

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Simulation-based optimization methodologies are widely applied in real world optimization problems. In developing these methodologies, beside simulation models, algorithms play a critical role. One example is an evolutionary multi objective optimization algorithm known as Reference point-based Non-dominated Sorting Genetic Algorithm-II (R-NSGA-II), which has shown to have some promising results in this regard. Its successor, R-NSGA-II-adaptive diversity control (hereafter Adaptive Epsilon-R-NSGA-II (AE-R-NSGA-II) algorithm) is one of the latest proposed extensions of the R-NSGA-II algorithm and in the early stages of its development. So far, little research exists on its applicability and usefulness, especially in real world optimization problems. This thesis evaluates behavior and performance of AE-R-NSGA-II, and to the best of our knowledge is one of its kind. To this aim, we have investigated the algorithm in two experiments, using two benchmark functions, 10 performance measures, and a behavioral characteristics analysis method. The experiments are designed to (i) assess behavior and performance of AE-R-NSGA-II, (ii) and facilitate efficient use of the algorithm in real world optimization problems. This is achieved through the algorithm parameter configuration (parametric study) according to the problem characteristics. The behavior and performance of the algorithm in terms of diversity of the solutions obtained, and their convergence to the optimal Pareto front is studied in the first experiment through manipulating a parameter of the algorithm referred to as Adaptive epsilon coefficient value (C), and in the second experiment through manipulating the Reference point (R) according to the distance between the reference point and the global Pareto front. Therefore, as one contribution of this study two new diversity performance measures (called Modified spread, and Population diversity), and the behavioral characteristics analysis method called R-NSGA-II adaptive epsilon value have been introduced and applied. They can be modified and applied for the evaluation of any reference point based algorithm such as the AE-R-NSGA-II. Additionally, this project contributed to improving the Benchmark software, for instance by identifying new features that can facilitate future research in this area. Some of the findings of the study are as follows: (i) systematic changes of C and R parameters influence the diversity and convergence of the obtained solutions (to the optimal Pareto front and to the reference point), (ii) there is a tradeoff between the diversity and convergence speed, according to the systematic changes in the settings, (iii) the proposed diversity measures and the method are applicable and useful in combination with other performance measures. Moreover, we realized that because of the unexpected abnormal behaviors of the algorithm, in some cases the results are conflicting, therefore, impossible to interpret. This shows that still further research is required to verify the applicability and usefulness of AE-R-NSGA-II in practice. The knowledge gained in this study helps improving the algorithm.

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Libri sul tema "Optimization-based evaluation"

Optimization based clearance of flight control laws: A civil aircraft application. Berlin: Springer, 2012.

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Hansson, Anders, Andreas Varga e Guilhem Puyou. Optimization Based Clearance of Flight Control Laws: A Civil Aircraft Application. Springer, 2012.

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Braginsky, O. B., G. M. Tatevosyan, S. V. Sedova e R. Sh Magomedov. The economic mechanism of development programs: the interaction of economic instruments. CEMI RAS, 2020. http://dx.doi.org/10.33276/978-5-8211-0787-9.

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The preprint presents the economic mechanism of investment programs and analyzes its components: specific indicators for evaluating the investment part of developmental programs are proposed; a specific pricing for products manufactured as a result of the implementation of investment projects; a system of financing developmental programs based on the optimal ratio of budget funds, reinvested profits and credit. The empirical base of the study is made up of materials from the petrochemical complex. In this regard, the world trends in the development of petrochemical chemistry and the situation in the petrochemical complex of Russia are considered. Recommendations are given regarding the development of the petrochemical industry of Russia. A multi-criteria optimization model that implements the presented economic mechanism and is intended to form variants of the structure of the governmental program for industrial and regional (territorial) development is developed. The results of a computer experiment are presented. Variants of a conditional program for the development of the Russian oil and gas chemical complex showing the positive impact of the proposed economic mechanism on the structure and indicators of the program are developed.

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Capitoli di libri sul tema "Optimization-based evaluation"

Zhang, Huiqing, Donghao Li, Yonghui Zhang, Weiling Chen, Nan Guo e Hongyan Liu. "Optimization-Based Tone Mapping Evaluation". In Communications in Computer and Information Science, 331–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1194-0_29.

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Kim, Bum Shin, Jung Soo Ha, Gee Wook Song, Jung Seob Hyun e Woo Sung Choi. "Risk Based Optimization of the Life Assessment for Fossil Power Plant". In Advanced Nondestructive Evaluation I, 1572–75. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-412-x.1572.

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Jiang, Shan, Yuxin Wang e Yiming Yang. "Multiobjective Optimization-Based Manufacturability Evaluation for Part Structure". In Perspectives from Europe and Asia on Engineering Design and Manufacture, 155–63. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2212-8_15.

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Sadakane, Kunihiko, Nadia Takki Chebihi e Takeshi Tokuyama. "Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization". In Geometry, Morphology, and Computational Imaging, 301–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36586-9_19.

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Bondorf, Steffen, e Jens B. Schmitt. "Should Network Calculus Relocate? An Assessment of Current Algebraic and Optimization-Based Analyses". In Quantitative Evaluation of Systems, 207–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43425-4_15.

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Moayyedian, Mehdi. "Injection Molding Process Optimization Based on Fuzzy Quality Evaluation". In Intelligent Optimization of Mold Design and Process Parameters in Injection Molding, 111–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03356-9_6.

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Luong, Hoang Ngoc, Hai Thanh Thi Nguyen e Chang Wook Ahn. "Entropy-Based Evaluation Relaxation Strategy for Bayesian Optimization Algorithm". In Trends in Applied Intelligent Systems, 126–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13025-0_14.

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Huang, Fuyong. "Evaluation and Optimization of Green Building Based on BIM". In Lecture Notes in Electrical Engineering, 1855–63. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5959-4_226.

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Steinbach, Bernd, e Christian Posthoff. "Evaluation and Optimization of GPU Based Unate Covering Algorithms". In Computer Aided Systems Theory – EUROCAST 2015, 617–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27340-2_76.

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Schulz, Fabian, e Carsten Mueller. "Framework for Evaluation of Swarm-Based Chemical Reaction Optimization Algorithm". In Lecture Notes in Computer Science, 417–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26369-0_39.

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Atti di convegni sul tema "Optimization-based evaluation"

Roberts, Ron A. "Optimization of Transmission Field for DDF-Based Phased-Array Inspection". In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2006. http://dx.doi.org/10.1063/1.2184610.

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Ciavotta, Michele, Michele Ardagna e Anne Koziolek. "Palladio Optimization Suite: QoS optimization for component-based Cloud applications". In 9th EAI International Conference on Performance Evaluation Methodologies and Tools. ICST, 2016. http://dx.doi.org/10.4108/eai.14-12-2015.2262562.

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Al-Naeem, Tariq, Ian Gorton, Fethi Rabhi e Boualem Benatallah. "Tool support for optimization-based architectural evaluation". In the second international workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1082948.1082954.

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Sato, Masahiro, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang e Tomoko Ohkuma. "Uplift-based evaluation and optimization of recommenders". In RecSys '19: Thirteenth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3298689.3347018.

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Seong, Sumin, Soobum Lee e Chao Hu. "Reliability-based design optimization for nonlinear energy harvesters". In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, a cura di Norbert G. Meyendorf. SPIE, 2015. http://dx.doi.org/10.1117/12.2084045.

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Pugazhendhi, K., e A. K. Dhingra. "Reliability Based Design Optimization Using Automatic Differentiation". In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65912.

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Typically, a reliability based design optimization (RBDO) problem is solved as a nested optimization problem because an evaluation of the probabilistic constraint(s) involves solving a minimization problem. Over the years, a number of algorithms have been developed to solve the RBDO problem efficiently. All of these approaches involve an evaluation of derivatives of the responses. In this paper, a decoupled approach using automatic differentiation (AD) is presented to solve the RBDO problem. The proposed approach employs AD to evaluate the reliability, as well as to evaluate the sensitivity of the most probable point (MPP) with respect to the design variables. Since these evaluations involve a computation of the Jacobian and the Hessian, a use of AD improves the accuracy while simultaneously reducing the required number of response evaluations. The applicability of the proposed approach is shown through examples of increasing complexity ranging from problems where closed form solutions are available for evaluation of response to situations where finite element analysis is needed to compute the system response.

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Lake, Larry W., Ximing Liang, Thomas F. Edgar, Ali Al-Yousef, Morteza Sayarpour e Daniel Weber. "Optimization Of Oil Production Based On A Capacitance Model Of Production And Injection Rates". In Hydrocarbon Economics and Evaluation Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/107713-ms.

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Chai, Zenghao, Zhiyuan Fang e Jie Zhu. "Amazons Evaluation Optimization Strategy Based on PSO Algorithm". In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8832447.

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Li, Xia, Sun Peng, Li Qilong e Song Zhi. "An evaluation mechanism based route optimization in HMIPv6". In 2009 ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM). IEEE, 2009. http://dx.doi.org/10.1109/cccm.2009.5267878.

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Mosa, Ahmed A., Aisha Hassan, Rashid A. Saeed e Othman O. Khalifa. "Evaluation of NEMO-based approaches for route optimization". In 2011 4th International Conference on Mechatronics (ICOM). IEEE, 2011. http://dx.doi.org/10.1109/icom.2011.5937177.

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Rapporti di organizzazioni sul tema "Optimization-based evaluation"

Rotemberg, Julio, e Michael Woodford. An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy: Expanded Version. Cambridge, MA: National Bureau of Economic Research, maggio 1998. http://dx.doi.org/10.3386/t0233.

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