Search Results - "Multi-objective evolutionary algorithm based on decomposition (MOEA/D)"

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

“…This work introduces an efficient tool for the design of sustainable hydrogen supply chains (HSCs), considering both economic and environmental concerns,…”
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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

“…Evidence shows that the manufacturing industry is transitioning towards “automation” at the present stage, workpieces will be processed by machines…”
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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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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.•RSM…”
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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

“…Parallel batch processing machines have extensive applications in the semiconductor manufacturing process. However, the problem models in previous studies…”
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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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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

“…•An improved GRNN was proposed to improve the fertilization rate prediction model.•A three-objective bivariate fertilization-rate optimization model was…”
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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.

“…In engineering design and manufacturing optimization, the trade-off between a quality performance metric and the probability of satisfying all performance…”
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Fuzzy Flexible Job-Shop Scheduling Algorithm Based on Improved MOEA/D by ZHENG Jincan, SHAO Lizhen, LEI Xuemei

“…Considering the uncertainty of the processing time in an actual production workshop, the processing time is expressed in the form of fuzzy numbers. A…”
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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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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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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

“…Disassembly Line Balancing Problems have received much attention from practitioners and researchers due to their importance in sustainable economic…”
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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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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

“…The weapon target assignment (WTA) problem is a fundamental problem arising in defense-related applications of operations research, and the multi-stage weapon…”
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Liquid Conductivity Detection by Passive Secure UHF RFID Tag by Yang, Chenwei, Tao, Yonghui, Lan, Tiange, Man, Hui

“…A passive secure ultra-high frequency (UHF) radio frequency identification (RFID) tag for liquid conductivity detection is here introduced. Products of liquids…”
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A new optimization algorithm to solve multi-objective problems by Sharifi, Mohammad Reza, Akbarifard, Saeid, Qaderi, Kourosh, Madadi, Mohamad Reza

“…Simultaneous optimization of several competing objectives requires increasing the capability of optimization algorithms. This paper proposes the…”
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Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization by Mirjalili, Seyedali, Saremi, Shahrzad, Mirjalili, Seyed Mohammad, Coelho, Leandro dos S.

“…: Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D) and Multi-Objective Particle Swarm Optimization (MOPSO…”
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Wind turbine blade geometry design based on multi-objective optimization using metaheuristics by Vianna Neto, Júlio Xavier, Guerra Junior, Elci José, Moreno, Sinvaldo Rodrigues, Hultmann Ayala, Helon Vicente, Mariani, Viviana Cocco, Coelho, Leandro dos Santos

“…The application of evolutionary algorithms to wind turbine blade design can be interesting, by reducing the number of aerodynamic-to-structural design loops in…”
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