Výsledky vyhľadávania - "Decomposition-based evolutionary algorithms"

Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization

Autori: Chugh, Tinkle Hakanen, Jussi Miettinen a ďalší

Zdroj: IEEE Transactions on Evolutionary Computation. 26:1182-1191

Predmety: Pareto optimality, ta113, Päätöksen teko monitavoitteisesti, pareto-tehokkuus, Decision analytics utilizing causal models and multiobjective optimization, gaussiset prosessit, Gaussian processes, evoluutiolaskenta, Multiobjective Optimization Group, 02 engineering and technology, monitavoiteoptimointi, 01 natural sciences, Computational Science, Kriging, metamodelling, 0202 electrical engineering, electronic engineering, information engineering, surrogate, kernel density estimation, kriging-menetelmä, 0101 mathematics, Laskennallinen tiede

Popis súboru: application/pdf; fulltext

Prístupová URL adresa: http://juuli.fi/Record/0392523222
https://doi.org/10.1109/TEVC.2022.3154231
http://urn.fi/URN:NBN:fi:jyu-202210054798

Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms

Autori: Dong, Ting Wang, Haoxin Zhang, Hengxi a ďalší

Predmety: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Prístupová URL adresa: http://arxiv.org/abs/2404.08501

A Survey of Decomposition Based Evolutionary Algorithms for Many-Objective Optimization Problems

Autori: Xiaofang Guo

Zdroj: IEEE Access, Vol 10, Pp 72825-72838 (2022)

Predmety: decomposition, evolutionary algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Many-objective, TK1-9971

Prístupová URL adresa: https://doaj.org/article/7233c0ecc86b41c1a5b3bcfb43f20279

A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms

Autori: Ryoji Tanabe Hisao Ishibuchi

Zdroj: IEEE Transactions on Evolutionary Computation. 24:720-734

Predmety: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology

Prístupová URL adresa: http://arxiv.org/pdf/2009.14700
http://arxiv.org/abs/2009.14700
http://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-14700
https://ieeexplore.ieee.org/document/8884131
https://dblp.uni-trier.de/db/journals/tec/tec24.html#TanabeI20a
https://arxiv.org/pdf/2009.14700.pdf
https://ui.adsabs.harvard.edu/abs/2020arXiv200914700T/abstract
https://arxiv.org/abs/2009.14700
http://export.arxiv.org/pdf/2009.14700

Large-scale clustering using decomposition-based evolutionary algorithms

Autori: Aleksei Vakhnin Evgenii Sopov

Zdroj: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). :345-352

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/ssci/ssci2020.html#VakhninS20

A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms

Autori: Tanabe, Ryoji Ishibuchi, Hisao

Témy: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2009.14700

Probabilistic Selection Approaches in Decomposition-based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization

Autori: Mazumdar, Atanu Chugh, Tinkle Hakanen, Jussi a ďalší

Predmety: Kriging, Gaussian processes, metamodelling, surrogate, kernel density estimation, Pareto optimality, Decision analytics utilizing causal models and multiobjective optimization, Multiobjective Optimization Group, Computational Science, Päätöksen teko monitavoitteisesti, Laskennallinen tiede, gaussiset prosessit, pareto-tehokkuus, monitavoiteoptimointi, kriging-menetelmä, evoluutiolaskenta

Popis súboru: application/pdf; 1182-1191; fulltext

Relation: IEEE Transactions on Evolutionary Computation; 26; 311877; Research Council of Finland; Suomen Akatemia

Dostupnosť: http://urn.fi/URN:NBN:fi:jyu-202210054798

Comparing Decomposition-Based Evolutionary Algorithms for Multi and Many-Objective Optimization Problems ; Comparando Algoritmos Evolutivos Baseados em Decomposição para Problemas de Otimização Multiobjetivo e com Muitos Objetivos

Autori: Peito, Marcela C. C. da Costa Vargas, Denis Emanuel Wanner, Elizabeth Fialho

Zdroj: VETOR - Journal of Exact Sciences and Engineering; Vol. 33 No. 2 (2023); 41-51 ; VETOR - Revista de Ciências Exatas e Engenharias; v. 33 n. 2 (2023); 41-51 ; 2358-3452 ; 0102-7352

Predmety: Algoritmo Evolutivo, Decomposição, Otimização Multiobjetivo, Evolutionary Algorithm, Decomposition, Multiobjective Optimization

Popis súboru: application/pdf

Relation: https://periodicos.furg.br/vetor/article/view/16444/10463; https://periodicos.furg.br/vetor/article/view/16444

Dostupnosť: https://periodicos.furg.br/vetor/article/view/16444

Probabilistic Selection Approaches in Decomposition-based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization

Autori: A Mazumdar T Chugh J Hakanen a ďalší

Predmety: No keyword

Relation: 10871/129049

Dostupnosť: https://figshare.com/articles/journal_contribution/Probabilistic_Selection_Approaches_in_Decomposition-based_Evolutionary_Algorithms_for_Offline_Data-Driven_Multiobjective_Optimization/29785823

A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms.

Autori: Tanabe, Ryoji Ishibuchi, Hisao

Zdroj: IEEE Transactions on Evolutionary Computation; Aug2020, Vol. 24 Issue 4, p720-734, 15p

Predmety: EVOLUTIONARY algorithms, MULTIMODAL user interfaces, ADDITION (Mathematics), EVOLUTIONARY computation

Collaborative Decomposition Multi-Objective Improved Elephant Clan Optimization Based on Penalty-Based and Normal Boundary Intersection.

Autori: Wei, Mengjiao Liu, Wenyu

Zdroj: Computers, Materials & Continua; 2025, Vol. 83 Issue 2, p2505-2523, 19p

Predmety: OPTIMIZATION algorithms, MULTI-objective optimization, SET functions, PROBLEM solving, ELEPHANTS

A decomposition-based evolutionary algorithm using an estimation strategy for multimodal multi-objective optimization.

Autori: Gao, Weifeng Xu, Wei Gong, Maoguo a ďalší

Zdroj: Information Sciences. Aug2022, Vol. 606, p531-548. 18p.

Predmety: EVOLUTIONARY algorithms

Optimal scheduling and management of grid‐connected distributed resources using improved decomposition‐based many‐objective evolutionary algorithm.

Autori: Abbas, Ghulam Wu, Zhi Ali, Aamir

Zdroj: IET Generation, Transmission & Distribution (Wiley-Blackwell); Aug2024, Vol. 18 Issue 16, p2625-2649, 25p

Predmety: RENEWABLE energy sources, POWER resources, EVOLUTIONARY algorithms, ENERGY dissipation, BATTERY management systems, MICROGRIDS

A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization.

Autori: Hu, Tenghui Wang, Xianpeng Tang, Lixin a ďalší

Zdroj: Swarm & Evolutionary Computation. Dec2024, Vol. 91, pN.PAG-N.PAG. 1p.

Predmety: Space exploration, Algorithms, Evolutionary algorithms

Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE.

Autori: Tanabe, Ryoji Ishibuchi, Hisao

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Dec2019, Vol. 23 Issue 23, p12843-12857. 15p.

Predmety: *EVOLUTIONARY algorithms, *DIFFERENTIAL evolution, *SOURCE code, *DIFFERENTIAL operators

Decomposition-based Evolutionary Algorithm for Large Scale Problems

Autori: Sayed, Eman

Predmety: Decomposition-based Evolutionary Algorithms, Large Scale Optimisation, Problem Decomposition, Unconstrained Optimisation, Constrained Optimisation, Variable Interaction Identification, Differential Evolution

Popis súboru: application/pdf

Relation: http://hdl.handle.net/1959.4/53657; https://doi.org/10.26190/unsworks/16927

Dostupnosť: http://hdl.handle.net/1959.4/53657
https://unsworks.unsw.edu.au/bitstreams/93803289-2d2f-40df-babb-a2440f66cb53/download
https://doi.org/10.26190/unsworks/16927

An analysis of control parameters of MOEA/D under two different optimization scenarios.

Autori: Tanabe, Ryoji Ishibuchi, Hisao

Zdroj: Applied Soft Computing. Sep2018, Vol. 70, p22-40. 19p.

Predmety: Parameter estimation, Combinatorial optimization, Evolutionary algorithms, Classification algorithms, Rough sets

Evolutionary optimization of many-objective problems with irregular Pareto fronts

Autori: Liu, Qiqi Jin, Yaochu

Prispievatelia: Liu, Qiqi Jin, Yaochu

Predmety: Multi-objective Evolutionary Algorithms, Surrogate-assisted Evolutionary Algorithms, Irregular Pareto Fronts, Reference Vectors

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.856286

A Two-Archive Many-Objective Optimization Algorithm Based on D-Domination and Decomposition.

Autori: Ye, Na Dai, Cai Xue, Xingsi

Zdroj: Algorithms; Nov2022, Vol. 15 Issue 11, p392, 17p

Predmety: EVOLUTIONARY algorithms, MATHEMATICAL optimization, VECTOR valued functions

A bi-layer decomposition algorithm for many-objective optimization problems.

Autori: Zhao, Chunliang Zhou, Yuren Hao, Yuanyuan a ďalší

Zdroj: Applied Intelligence; Oct2022, Vol. 52 Issue 13, p15122-15142, 21p

Predmety: MATHEMATICAL optimization, DILEMMA