Search Results - multi-objective optimization evolutionary algorithm based on decomposition

A new orthogonal evolutionary algorithm based on decomposition for multi-objective optimization

Authors: Dai, Cai Wang, Yuping Yue, Wei

Source: The Journal of the Operational Research Society, 2015 Oct 01. 66(10), 1686-1698.

Access URL: http://www.jstor.org/stable/24505524

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition

Authors: Farias, Lucas R. C. Araújo, Aluizio F. R.

Index Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2410.19203

Additional Titles: Parallelization of decomposition-based evolutionary multi-objective optimization algorithms

Authors: Cui, XinTong

Index Terms: Departmental Bulletin Paper., VoR.

URL: https://hdl.handle.net/10114/00025261
https://doi.org/10.15002/00025261
https://hosei.ecats-library.jp/da/repository/00025293/gradcis_17_20T0006.pdf
AA12746425

A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future

Authors: Li, Ke

Index Terms: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2404.14571

Quantum-inspired multi-objective optimization evolutionary algorithm based on decomposition

Authors: Licheng Jiao Yang Wang Yangyang Li

Source: Soft Computing. 20:3257-3272

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://dblp.uni-trier.de/db/journals/soco/soco20.html#WangLJ16
https://link.springer.com/article/10.1007/s00500-015-1702-9
https://dblp.uni-trier.de/db/journals/soco/soco20.html#WangLJ16

Efficiency multi-agent model assisted Moea/D algorithm for optimization design for building taking into account annual energy consumption and annual user discomfort hours

Authors: Hua Deng Kai Zhou

Source: Archives of Civil Engineering, Vol vol. 70, Iss No 4 (2024)

Subject Terms: multi-agent model, multi-objective optimization evolutionary algorithm based on decomposition, energy efficiency, annual energy consumption, annual user discomfort hours, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://journals.pan.pl/Content/133481/29_2k.pdf; https://doaj.org/toc/1230-2945

Access URL: https://doaj.org/article/c042e39a2952401eb1fc65ab5c2c39b9

Optimization of noise abatement aircraft terminal routes using a multi-objective evolutionary algorithm based on decomposition

Authors: Ho-Huu, V. (author) Hartjes, S. (author) Geijselaers, L.H. (author) et al.

Index Terms: military aircraft, aircraft rotations, military retirements, SmartBasing, conference paper

URL: http://resolver.tudelft.nl/uuid:a14a5572-b75a-45f1-804c-0221115d8765
http://resolver.tudelft.nl/uuid:a14a5572-b75a-45f1-804c-0221115d8765
6th CEAS Air and Space Conference, Bucharest, October 2017
6th CEAS Air and Space Conference--7c2720cc-8291-4f47-91b9-f0619a3b21e3

A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition

Authors: Tao Zhang Fuzhang Li Xin Zhao et al.

Source: Swarm and Evolutionary Computation. 72:101081

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Decomposition-based multi-objective optimization approach for PPI network alignment

Authors: Menor Flores, Manuel Vega Rodríguez, Miguel Ángel

Access URL: http://hdl.handle.net/10662/17193

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes

Authors: Yong Jiang Shengxiang Yang Shouyong Jiang

Source: Soft Computing. 21:4677-4691

Subject Terms: Optimization, Decomposition, I100 - Computer science, Adaptive penalty, 02 engineering and technology, Scalarizing function, G400 Computer Science, Evolutionary algorithms, Multiobjective optimization problems (MOPs), Subproblem-based penalty scheme, Decomposition approach, Multi-objective optimization evolutionary algorithms, Multi objective evolutionary algorithms, 0202 electrical engineering, electronic engineering, information engineering, Pareto optimal solutions, Pareto principle, Multiobjective optimization

File Description: application/pdf

Access URL: http://eprints.lincoln.ac.uk/id/eprint/35663/1/SOCO17.pdf
https://dora.dmu.ac.uk/bitstream/2086/11811/2/SOCO16.pdf
https://link.springer.com/article/10.1007/s00500-016-2076-3
https://eprints.lincoln.ac.uk/id/eprint/35663/
https://dora.dmu.ac.uk/handle/2086/11811
https://abdn.pure.elsevier.com/en/publications/improving-the-multiobjective-evolutionary-algorithm-based-on-deco
https://link.springer.com/article/10.1007/s00500-016-2076-3/fulltext.html
https://eprints.lincoln.ac.uk/id/eprint/35663/1/SOCO17.pdf

Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization

Authors: Zheng, Ruihao Wu, Yin Li, Genghui et al.

Index Terms: Multi-objective optimization, Decomposition, Combinatorial optimization, Evolutionary algorithm, Evolutionary multi-objective optimization, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-139808
https://doi.org/10.1016/j.swevo.2024.101503
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2210-6502&rft.volume=86&rft.issue=101503&rft.date=2024&rft.spage=&rft.aulast=Zheng&rft.aufirst=&rft.atitle=Decomposition+with+adaptive+composite+norm+for+evolutionary+multi-objective+combinatorial+optimization&rft.title=SWARM+AND+EVOLUTIONARY+COMPUTATION
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001200229700001
http://www.scopus.com/record/display.url?eid=2-s2.0-85185886763&origin=inward

A Parallel Multi-objective Optimization Algorithm Based on Coarse-to-Fine Decomposition for Real-time Large-scale Reservoir Flood Control Operation.

Authors: Yang, Rui Qi, Yutao Lei, Jiaojiao et al.

Source: Water Resources Management; Jul2022, Vol. 36 Issue 9, p3207-3219, 13p

Subject Terms: FLOOD control, MATHEMATICAL optimization, DECOMPOSITION method, EVOLUTIONARY algorithms, PARALLEL algorithms, SCHEDULING

On the Selection Pressure on Multi-Objective Evolutionary Algorithm Based on Decomposition / 分解に基づく多目的進化計算アルゴリズムにおける選択圧に関する考察

Authors: Akira OYAMA Hiroaki FUKUMOTO 大山 聖 et al.

Source: The Proceedings of Design & Systems Conference. 2019, :1212

An adaptive dynamic community detection algorithm based on multi-objective evolutionary clustering

Authors: Wenxue Wang Qingxia Li Wenhong Wei

Source: International Journal of Intelligent Computing and Cybernetics. 17:143-160

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Optimization of cutting parameters using multi-objective evolutionary algorithm based on decomposition

Authors: Tao, Fu Weijun, Liu Jibin, Zhao

Source: Journal of Vibroengineering, Vol. 15, Issue 2, 2013, p. 833-844.; 1392-8716; 2538-8460

Index Terms: NAK80, cutting parameters, multi-objective evolutionary algorithm, optimization, Research article

URL: https://www.extrica.com/article/14566

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes

Authors: S. Yang Shouyong Jiang Y. Jiang

Subject Terms: I100 - Computer science, Adaptive penalty, Decomposition, Decomposition approach, Evolutionary algorithms, Multi objective evolutionary algorithms, Multiobjective optimization, Multi-objective optimization evolutionary algorithms, Multiobjective optimization problems (MOPs), Optimization, Pareto optimal solutions, Pareto principle, Scalarizing function, Subproblem-based penalty scheme

Relation: 10779/lincoln.24376201.v4; https://figshare.com/articles/journal_contribution/Improving_the_multiobjective_evolutionary_algorithm_based_on_decomposition_with_new_penalty_schemes/24376201

Availability: https://figshare.com/articles/journal_contribution/Improving_the_multiobjective_evolutionary_algorithm_based_on_decomposition_with_new_penalty_schemes/24376201

Parallelization of hybrid multi-objective evolutionary algorithm on multi-core architectures

Authors: Lui, Shaun (Mathematics) Kamali, Shahin (Computer Science) Thulasiraman, Parimala et al.

Index Terms: Multi-objective Optimization Problem (MOP), Evolutionary Multi-objective Optimization (EMO) Algorithm, Bi-Criterion Evolution (BCE) Framework, Parallel Computing, master thesis

URL: http://hdl.handle.net/1993/37951

A Convolutional Neural Network-Based Surrogate Model for Multi-objective Optimization Evolutionary Algorithm Based on Decomposition.

Authors: Zhang, Tao Li, Fuzhang Zhao, Xin et al.

Source: Swarm & Evolutionary Computation. Jul2022, Vol. 72, pN.PAG-N.PAG. 1p.

Subject Terms: Evolutionary algorithms, Mathematical optimization, Convolutional neural networks

Hierarchical Flood Operation Rules Optimization Using Multi-Objective Cultured Evolutionary Algorithm Based on Decomposition.

Authors: Liu, Yongqi Qin, Hui Mo, Li et al.

Source: Water Resources Management; Jan2019, Vol. 33 Issue 1, p337-354, 18p

Subject Terms: FLOOD control, MATHEMATICAL optimization, DECOMPOSITION method, ALGORITHMS, WATER power

Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization.

Authors: Xu, Ying Ding, Ou Qu, Rong et al.

Source: Applied Soft Computing. Jul2018, Vol. 68, p268-282. 15p.

Subject Terms: Wireless sensor networks, Evolutionary algorithms, Internet service providers, Computer simulation, Multidisciplinary design optimization