Search Results - multi-objective evolutionary algorithm based on decomposition(moea/d)

An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization by 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 improved MOEA/D with reinforcement learning for flexible job shops incorporating manual operations and fatigue effects by Li, Yibing, Tong, Xin, Zou, Haiqi, Guo, Jun, Wang, Lei, Tang, Hongtao, Wang, Kaipu, Li, Xinyu

“… Since the exact solver is inefficient in solving the problem proposed, a problem-specific improved multi-objective evolutionary…”
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MOEA/D Algorithm Based on Combinational Optimization of Neighborhood and Mutation Operator by LIU Lu,ZHENG Liming

“… Algorithm based on Decomposition(MOEA/D),this paper proposes an optimized MOEA/D algorithm.Four different neighborhood sizes and four mutation strategies with different features are combined in pairs as a part of candidate…”
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A structural optimization model of a biochemical detection micromixer based on RSM and MOEA/D by Yang, Minghao, Gan, Yi, Gao, Li, Zhu, Xiaofeng

“…•Multi objective optimization of structural of Y-type passive planar micromixer.•Optimize the length and angle of the compact rectangular baffle structure…”
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Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for Optimal Design of Hydrogen Supply Chains by Cantú, Victor H., Azzaro-Pantel, Catherine, Ponsich, Antonin

“… Within this hybrid strategy, a multi-objective evolutionary algorithm deals with integer variables and Pareto front construction, which reduces the original mixed-integer linear programming (MILP…”
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Evolutionary multi-objective optimization of environmental indicators of integrated crude oil supply chain under uncertainty by Azadeh, Ali, Shafiee, Farideh, Yazdanparast, Reza, Heydari, Jafar, Fathabad, Abolhassan Mohammadi

“… A unique multi-objective evolutionary algorithm based on decomposition (MOEA-D) approach is employed to solve the proposed mixed integer nonlinear programming model…”
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Adaptive knowledge-based multi-objective evolutionary algorithm for hybrid flow shop scheduling problems with multiple parallel batch processing stages by Liu, Feige, Li, Xin, Lu, Chao, Gong, Wenyin

“… Furthermore, an Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm (AMOEA/D) is designed to simultaneously optimize both makespan and Total Energy Consumption (TEC…”
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MOEA/D-DE based bivariate control sequence optimization of a variable-rate fertilizer applicator by 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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Design of Constellations for GNSS Reflectometry Mission Using the Multi-objective Evolutionary Algorithms by Xu, Xiaohua, Ju, Zhanghai, Luo, Jia

“…), the non-dominated sorting genetic algorithm II (NSGA-II) and the multi-objective evolutionary algorithm based on decomposition (MOEA/D…”
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Fuzzy Flexible Job-Shop Scheduling Algorithm Based on Improved MOEA/D by ZHENG Jincan, SHAO Lizhen, LEI Xuemei

“…, and an Improved Multi-Objective Evolutionary Algorithm based on Decomposition(IMOEA/D) is proposed. In this algorithm, a two-layer encoding method based on operations…”
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An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization by Bo Liu, Qingfu Zhang, Fernandez, Francisco V., Gielen, Georges G. E.

“…). A new method, called MOOLP (multi-objective uncertain optimization with ordinal optimization (OO…”
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Decomposition-based multi-objective evolutionary algorithm with mating neighborhood sizes and reproduction operators adaptation by Zhang, Sheng Xin, Zheng, Li Ming, Liu, Lu, Zheng, Shao Yong, Pan, Yong Mei

“…Multi-objective evolutionary algorithms based on decomposition (MOEA/D) has demonstrated excellent performance in dealing with multi-objective optimization problems…”
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Improved MOEA/D Algorithm Based on Adaptive Neighborhood Strategy by GENG Huantong,HAN Weimin,DING Yangyang,ZHOU Shansheng

“…Traditional Multi-objective Evolutionary Algorithm based on Decomposition(MOEA/D)uses the fixed neighborhood scale,which reduces the population evolution…”
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Research on the Short-Term Economic Dispatch Method of Power System Involving a Hydropower-Photovoltaic-Pumped Storage Plant by Guo, Liang, Liu, Shudi, Xi, Litang, Zhang, Guofang, Liu, Ziqi, Zeng, Qi, Lü, Feipeng, Wang, Yuhong

“…The auxiliary regulation capacity of pumped-storage power stations can be utilized as an effective method to regulate the output of a hydro-photovoltaic…”
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Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem by Xu, Song, Guo, XiWang, Liu, ShiXin, Qi, Liang, Qin, Shujin, Zhao, ZiYan, Tang, Ying

“… strategy for a multi-objective evolutionary algorithm based on decomposition, resulting a new method…”
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Enhancing MOEA/D with information feedback models for large-scale many-objective optimization by Zhang, Yin, Wang, Gai-Ge, Li, Keqin, Yeh, Wei-Chang, Jian, Muwei, Dong, Junyu

“… A multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a classic decomposition-based multi-objective optimization algorithm…”
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Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization by Xu, Ying, Ding, Ou, Qu, Rong, Li, Keqin

“…•This paper models the coverage control optimization problem in WSN as a multi-objective optimization problem considering multiple objectives…”
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An improved MOEA/D algorithm with an adaptive evolutionary strategy by 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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On the effect of reference point in MOEA/D for multi-objective optimization by Wang, Rui, Xiong, Jian, Ishibuchi, Hisao, Wu, Guohua, Zhang, Tao

“…, optimistic, pessimistic and dynamic leads to different performances for decomposition based algorithms…”
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Solving multi-objective multi-stage weapon target assignment problem via adaptive NSGA-II and adaptive MOEA/D: A comparison study by Juan Li, Jie Chen, Bin Xin, LiHua Dou

“… and fire transfer constraints. In order to tackle the two challenges, two types of multi-objective optimizers: NSGA-II (domination-based) and MOEA/D (decomposition-based…”
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