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A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems
IEEE Transactions on Evolutionary Computation, 2013Recently, the hybridization between evolutionary algorithms and other metaheuristics has shown very good performances in many kinds of multiobjective optimization problems (MOPs), and thus has attracted considerable attentions from both academic and industrial communities.
Lixin Tang 0002, Xianpeng Wang 0002
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Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems [PDF]
IEEE Transactions on Evolutionary Computation, 2014 This letter suggests an approach for decomposing a multiobjective optimization problem (MOP) into a set of simple multiobjective optimization subproblems. Using this approach, it proposes MOEA/D-M2M, a new version of multiobjective optimization evolutionary algorithm-based decomposition.
Fangqing Gu +2 more
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A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization
IEEE Transactions on Evolutionary Computation, 2021The main challenge in constrained multiobjective optimization problems (CMOPs) is to appropriately balance convergence, diversity and feasibility. Their imbalance can easily cause the failure of a constrained multiobjective evolutionary algorithm (CMOEA)
Mengjun Ming +4 more
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Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer
IEEE Transactions on Evolutionary ComputationSolving constrained multiobjective optimization problems (CMOPs) with various features and challenges via evolutionary algorithms is very popular. Existing methods usually adopt an additional helper problem to simplify and solve them by divide and ...
Feifei Ming +3 more
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Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution
IEEE Transactions on Cybernetics, 2021Constrained multiobjective optimization problems (CMOPs) involve both conflicting objective functions and various constraints. Due to the presence of constraints, CMOPs’ Pareto-optimal solutions are very likely lying on constraint boundaries.
Zhi-Zhong Liu, Bing-chuan Wang, K. Tang
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IEEE Transactions on Cybernetics
Timely delivery of first aid supplies is significant to saving lives when an accident happens. Among the promising solutions provided for such scenarios, the application of unmanned vehicles has attracted ever more attention.
Runqi Chai +7 more
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Timely delivery of first aid supplies is significant to saving lives when an accident happens. Among the promising solutions provided for such scenarios, the application of unmanned vehicles has attracted ever more attention.
Runqi Chai +7 more
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Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution
IEEE Transactions on Systems, Man & Cybernetics. Systems, 2021Solving constrained multiobjective optimization problems brings great challenges to an evolutionary algorithm, since it simultaneously requires the optimization among several conflicting objective functions and the satisfaction of various constraints ...
Kunjie Yu +4 more
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Evolutionary Multiobjective Clustering
2004new approach to data clustering is proposed, in which two or more measures of cluster quality are simultaneously optimized using a multiobjective evolutionary algorithm (EA). For this purpose, the PESA-II EA is adapted for the clustering problem by the incorporation of specialized mutation and initialization procedures, described herein.
Handl, Julia, Knowles, Joshua
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IEEE Transactions on Evolutionary Computation
Reducing the number of selected features and improving the classification performance are two major objectives in feature selection, which can be viewed as a multiobjective optimization problem.
Ruwang Jiao, Bing Xue, Mengjie Zhang
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Reducing the number of selected features and improving the classification performance are two major objectives in feature selection, which can be viewed as a multiobjective optimization problem.
Ruwang Jiao, Bing Xue, Mengjie Zhang
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Hierarchical Multiobjective Heuristic for PCB Assembly Optimization in a Beam-Head Surface Mounter
IEEE Transactions on Cybernetics, 2021This article proposes a hierarchical multiobjective heuristic (HMOH) to optimize printed-circuit board assembly (PCBA) in a single beam-head surface mounter.
Huijun Gao +3 more
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