Výsledky vyhledávání - multi-objective evolution algorithm based on decomposition((moea/d OR moda/d))

Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor Tanabe, Ryoji, Ishibuchi, Hisao

“…A decomposition-based multi-objective evolutionary algorithm with a differential evolution variation operator (MOEA/D-DE…”
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Multi-strategy Dynamic Evolution-Based Improved MOEA/D Algorithm for Solving Multi-Objective Fuzzy Flexible Job Shop Scheduling Problem Autor 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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Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition Autor Zheng, Wei, Sun, Jianyong

“…Multi-objective evolutionary algorithm (MOEA) based on search space decomposition (MOEA/D-M2M…”
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A modified MOEA/D approach to the solution of multi-objective optimal power flow problem Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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 Autor 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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An efficient algorithm for multi-objective structural optimization problems using an improved pbest-based differential evolution algorithm Autor Cao, Truong-Son, Pham, Hoang-Anh, Truong, Viet-Hung

“… Multi-objective optimization (MOO) for structural design is addressed. A new MOO algorithm, named MOEA/D-EpDE, which combines the advantages of a recently developed pbest-based differential evolution method (EpDE…”
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