Search Results - "Decomposition-based Evolutionary Algorithms"

Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes by Ishibuchi, Hisao, Setoguchi, Yu, Masuda, Hiroyuki, Nojima, Yusuke

“…Recently, a number of high performance many-objective evolutionary algorithms with systematically generated weight vectors have been proposed in the…”
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A decomposition-based evolutionary algorithm using an estimation strategy for multimodal multi-objective optimization by Gao, Weifeng, Xu, Wei, Gong, Maoguo, Yen, Gary G.

“…Multimodal multi-objective optimization problems (MMOPs) are commonly seen in real-world applications and have attracted a growing attention in recent years…”
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A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms by Tanabe, Ryoji, Ishibuchi, Hisao

“…Multimodal multiobjective optimization is to locate (almost) equivalent Pareto optimal solutions as many as possible. While decomposition-based evolutionary…”
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A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization by Hu, Tenghui, Wang, Xianpeng, Tang, Lixin, Zhang, Qingfu

“…A multimodal multiobjective optimization problem can have multiple equivalent Pareto Sets (PSs). Since the number of PSs may vary in different problems, if the…”
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Multiobjective path optimization for autonomous land levelling operations based on an improved MOEA/D-ACO by Jing, Yunpeng, Luo, Chengming, Liu, Gang

“…•Path optimization in headland turning sequence for autonomous land levelling operation.•A novel field model construction and decomposition strategy was…”
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Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition by Pang, Lie Meng, Ishibuchi, Hisao, Shang, Ke

“…The multiobjective evolutionary algorithm based on decomposition (MOEA/D) with the penalty-based boundary intersection (PBI) function (denoted as MOEA/D-PBI)…”
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An analysis of control parameters of MOEA/D under two different optimization scenarios by Tanabe, Ryoji, Ishibuchi, Hisao

“…•We present an analysis of control parameters of MOEA/D under two scenarios.•Our findings reveal that suitable parameter values for each scenario are…”
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Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE by Tanabe, Ryoji, Ishibuchi, Hisao

“…A decomposition-based multi-objective evolutionary algorithm with a differential evolution variation operator (MOEA/D-DE) shows high performance on challenging…”
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Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization by Aamir Ali, M. U. Keerio, J. A. Laghari

“…Distributed generation (DG) allocation in the distribution network is generally a multi-objective optimization problem. The maximum benefits of DG injection in…”
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Reinforcement Learning initialization by evolutionary formulation: Application for workflow autoscaling in the Cloud by Robino, Luciano, Garí, Yisel, Pacini, Elina, Mateos, Cristian, Yannibelli, Virginia, Monge, David A.

“…Scientific workflow execution is usually fulfilled through Cloud Computing, but correct autoscaling techniques are needed for proper performance. Reinforcement…”
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Color-Coating Scheduling With a Multiobjective Evolutionary Algorithm Based on Decomposition and Dynamic Local Search by Dong, Zhiming, Wang, Xianpeng, Tang, Lixin

“…The color-coated steel coil is a high value-added product for steel enterprises, and its production process is affected by multiple factors. How to provide…”
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A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization by Chen, Jiaxin, Ding, Jinliang, Tan, Kay Chen, Chen, Qingda

“…The aim of evolutionary multi/many-objective optimization is to obtain a set of Pareto-optimal solutions with good trade-off among the multiple conflicting…”
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A Chaotic Decomposition-Based Approach for Enhanced Multi-Objective Optimization by Alikhani Koupaei, Javad, Ebadi, Mohammad Javad

“…Multi-objective optimization problems often face challenges in balancing solution accuracy, computational efficiency, and convergence speed. Many existing…”
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Optimal shared mobility planning for electric vehicles in the distribution network by Fan, Vivienne Hui, Wang, Shu, Meng, Ke, Dong, Zhao Yang

“…Shared electric vehicle (EV) is an emerging component across interdependent power and transportation networks that affect economic, environmental and societal…”
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Multi-objective transmission expansion planning in a smart grid using a decomposition-based evolutionary algorithm by Qiu, Jing, Dong, Zhao Yang, Meng, Ke, Xu, Yan, Zhao, Junhua, Zheng, Yu

“…The integration of large-scale renewable energy and demand response (DR) resources in smart grids have brought in emerging challenges for transmission…”
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Many-Objective Evolutionary Algorithm Based on Spectral Clustering and Population Distribution by Yao, Jiaqi, Liu, Bin

“…Numerous real-world applications involve complex many-objective optimization problems characterized by a large number of objective functions. Despite the…”
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A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization by Qin, Shufen, Sun, Chaoli, Jin, Yaochu, Lan, Lier, Tan, Ying

“…It is challenging for optimization algorithms to obtain well converged and diverse optimal solutions in solving many-objective optimization problems,…”
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