Suchergebnisse - multi-objective evolution algorithm based on decomposition((moea/d OR vody/d))~

Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization von Yang, Zan, Qiu, Haobo, Gao, Liang, Chen, Liming, Liu, Jiansheng

“… •The performance difference of two classical decompositions has been well studied. In this paper, an adaptive surrogate-assisted MOEA/D framework (ASA-MOEA/D …”
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A two-stage evolutionary strategy based MOEA/D to multi-objective problems von Cao, Jie, Zhang, Jianlin, Zhao, Fuqing, Chen, Zuohan

“… ). The MOEA/D is a very popular multi-objective optimization algorithm and has been used to solve various real world problems …”
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A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism von Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“… This paper introduces a multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism (MOEA/D-DCH …”
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An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization von Ho-Huu, V., Hartjes, S., Visser, H.G., Curran, R.

“… The multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been recognized as a promising method for solving multi-objective optimization problems (MOPs …”
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An enhanced decomposition-based multi-objective evolutionary algorithm with a self-organizing collaborative scheme von Zhu, Yawen, Qin, Yuanhui, Yang, Dan, Xu, Haoyuan, Zhou, Hongbiao

“… The multi-objective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multi-objective optimization problem (MOP …”
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Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization von Xu, Ying, Ding, Ou, Qu, Rong, Li, Keqin

“… •A hybrid reproduction operator based on Genetic Algorithm (GA) and Differential Evolution (DE …”
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An improved MOEA/D algorithm with an adaptive evolutionary strategy von Wang, Wen-xiang, Li, Kang-shun, Tao, Xing-zhen, Gu, Fa-hui

“… The Multi-objective Evolutionary Algorithm Based on Decomposition (MOEA/D) overcomes the limitation of evolutionary algorithm based on a Pareto dominant relationship …”
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An improved MOEA/D for multi-objective job shop scheduling problem von Zhao, Fuqing, Chen, Zhen, Wang, Junbiao, Zhang, Chuck

“… In this article, an improved multi-objective evolutionary algorithm, which is based on decomposition (IMOEA/D …”
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Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE von Tanabe, Ryoji, Ishibuchi, Hisao

“… A decomposition-based multi-objective evolutionary algorithm with a differential evolution variation operator (MOEA/D-DE …”
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Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition von Zheng, Wei, Sun, Jianyong

“… Multi-objective evolutionary algorithm (MOEA) based on search space decomposition (MOEA/D-M2M …”
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Multi-strategy Dynamic Evolution-Based Improved MOEA/D Algorithm for Solving Multi-Objective Fuzzy Flexible Job Shop Scheduling Problem von Liu, Zhenggang, Liang, Xu, Hou, Lingyan, Yang, Dali, Tong, Qiang

“… To solve this problem, a multi-strategy dynamic evolution-based improved multi-objective evolutionary algorithm based on decomposition(IMOEA/D) was proposed …”
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A modified MOEA/D approach to the solution of multi-objective optimal power flow problem von Zhang, Jingrui, Tang, Qinghui, Li, Po, Deng, Daxiang, Chen, Yalin

“… This study presents a modified multi-objective evolutionary algorithm based decomposition (MOEA/D) approach to solve the optimal power flow …”
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Multi-Objective Dynamic Economic Emission Dispatch with Wind-Photovoltaic-Biomass-Electric Vehicles Interaction System Using Self-Adaptive MOEA/D von Qiao, Baihao, Ye, Jinglong, Hu, Hejuan, Wen, Pengwei

“… Therefore, a dynamic economic emission dispatch (DEED) model based on WP–PV–BE–EVs (DEEDWPBEV) is proposed. The DEEDWPBEV model is designed to simultaneously minimize operating costs and environmental emissions …”
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MOEA/D-DE based bivariate control sequence optimization of a variable-rate fertilizer applicator von Zhang, Jiqin, Liu, Gang, Luo, Chengming, Hu, Hao, Huang, Jiayun

“… •A three-objective bivariate fertilization-rate optimization model was developed.•MOEA/D-DE algorithm was proposed to optimize the control sequence …”
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Multi-operator Differential Evolution with MOEA/D for Solving Multi-objective Optimization Problems von Aggarwal, Sakshi, Mishra, Krishn K

“… In this paper, we propose a multi-operator differential evolution variant that incorporates three diverse mutation strategies in MOEA/D …”
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An Improved MOEA/D Algorithm for the Solution of the Multi-Objective Optimal Power Flow Problem von Wu, Zhitao, Liu, Hao, Zhao, Jian, Li, Zhiwu

“… The decomposition-based multi-objective algorithm (MOEA/D) is one of them. However, the effectiveness of the algorithm decreases as the size of the power system increases …”
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A New Hyper-Heuristic Multi-Objective Optimisation Approach Based on MOEA/D Framework von Han, Jiayi, Watanabe, Shinya

“… A multi-objective evolutionary algorithm based on decomposition (MOEA/D) serves as a robust framework for addressing multi-objective optimization problems (MOPs …”
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A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle von Gu, Qinghua, Bai, Jiaming, Li, Xuexian, Xiong, Naixue, Lu, Caiwu

“… There are various constraints in many real engineering problems, and the constrained handling methods play a key role in the constrained multi-objective evolutionary algorithms (CMOEAs …”
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Within-day rolling optimal scheduling problem for active distribution networks by multi-objective evolutionary algorithm based on decomposition integrating with thought of simulated annealing von Zhang, Jingrui, Li, Zhuoyun, Wang, Beibei

“… approach to handle uncertainty of renewable sources in ADN. Considering the characteristics of power supplies and loads in ADN, a comprehensive model of rolling multi-objective optimal dispatch is established …”
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Adaptive ε-Constraint Multi-Objective Evolutionary Algorithm Based on Decomposition and Differential Evolution von Liu, Bing-Jie, Bi, Xiao-Jun

“… >-constraint multi-objective evolutionary algorithm based on decomposition and differential evolution (<inline-formula> <tex-math notation="LaTeX">\varepsilon </tex-math></inline-formula>-MOEA/D-DE …”
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