Suchergebnisse - (dynamic OR dynamika) constrained multiobjective evolutionary algorithm*

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems von Chen, Qingda, Ding, Jinliang, Yang, Shengxiang, Chai, Tianyou

“… , we design a dynamic constrained multiobjective optimization algorithm with a nondominated solution selection operator …”
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Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm von Chen, Guoyu, Guo, Yinan, Wang, Yong, Liang, Jing, Gong, Dunwei, Yang, Shengxiang

“… Dynamic constrained multiobjective optimization problems (DCMOPs) abound in real-world applications and gain increasing attention in the evolutionary computation community …”
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Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization von Qiao, Kangjia, Yu, Kunjie, Qu, Boyang, Liang, Jing, Song, Hui, Yue, Caitong, Lin, Hongyu, Tan, Kay Chen

“… When solving constrained multiobjective optimization problems (CMOPs), the utilization of infeasible solutions significantly affects algorithm's performance …”
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A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization von Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Alkasassbeh, Jawdat S.

“… ) a method of gradually reducing the niche size aims to handle the multimodal difficulty. A general framework of the design of dynamic constrained multiobjective evolutionary algorithms is proposed for solving DCMOPs …”
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Solving Multiobjective Constrained Trajectory Optimization Problem by an Extended Evolutionary Algorithm von Chai, Runqi, Savvaris, Al, Tsourdos, Antonios, Xia, Yuanqing, Chai, Senchun

“… To address the multiobjective trajectory planning problem, this paper applies a specific multiple-shooting discretization technique with the newest NSGA-III optimization algorithm and constructs …”
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Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking von Zhang, Dezheng, Zhang, Kai, Yu, Kunjie, Liang, Jing, Qiao, Kangjia, Qu, Boyang, Chen, Ke, Yue, Caitong

“… To tackle these challenges, this paper proposes a dynamic constrained multiobjective evolutionary algorithm based on multipopulation prediction and dynamic fusion ranking …”
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Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization von Wang, Bing-Chuan, Shui, Zhong-Yi, Feng, Yun, Ma, Zhongwei

“… We present an effective evolutionary algorithm with a dynamic population size (DPSEA) to achieve these two tradeoff …”
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DpEA: A dual-population evolutionary algorithm for dynamic constrained multiobjective optimization von Yang, Cuicui, Sui, Guangyuan, Ji, Junzhong, Li, Xiang, Zhang, Xiaoyu

“… Dynamic Constrained Multiobjective Optimization Problems (DCMOPs) are very difficult to solve because both of the objectives and constraints may change over time …”
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Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution von Yu, Kunjie, Liang, Jing, Qu, Boyang, Luo, Yong, Yue, Caitong

“… In this article, we propose a dynamic selection preference-assisted constrained multiobjective differential evolutionary (DE) algorithm …”
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A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification von Guo, Yinan, Huang, Mingyi, Chen, Guoyu, Gong, Dunwei, Liang, Jing, Yu, Zekuan

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Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization von Ming, Fei, Gong, Wenyin, Xue, Bing, Zhang, Mengjie, Jin, Yaochu

“… Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms (CMOEAs …”
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A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm von Chen, Guoyu, Guo, Yinan, Jiang, Min, Yang, Shengxiang, Zhao, Xiaoxiao, Gong, Dunwei

“… To address this issue, a subspace-knowledge transfer based dynamic constrained multiobjective evolutionary algorithm is proposed in this article, termed SKTEA …”
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A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization von Xie, Shumin, Li, Kangshun, Wang, Wenxiang, Wang, Hui, Peng, Chaoda, Jalil, Hassan

“… To address these issues, a constrained multiobjective evolutionary algorithm named DPTPEA, which combines dual-population and two-phase strategies, is proposed in this article …”
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Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction von Gong, Quan, Xia, Yizhang, Zou, Juan, Hou, Zhanglu, Liu, Yuan

“… Dynamic constrained multiobjective optimization problems (DCMOPs) involve complex changes in objective functions and constraints over time …”
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Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization von Wang, Zhenzhong, Xu, Dejun, Jiang, Min, Chen Tan, Kay

“… Dynamic constrained multiobjective optimization problems (DCMOPs) are characterized by multiple conflicting optimization objectives and constraints that vary over time …”
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Multiobjective Ant Colony Optimization Algorithm Based on Dynamic Constraint Evaluation Strategy for Highly Constrained Optimization von Hou, Ying, Qin, Xuemin, Han, Honggui, Wang, Jingjing

“… The optimization performance of general evolutionary algorithms decreases due to the small and dispersed feasible regions in highly constrained optimization problems …”
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A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization von Gong, Dunwei, Rong, Miao, Hu, Na, Wang, Yan, Pedrycz, Witold, Yang, Shengxiang

“… ) as the optimizer aiming at balancing exploration and convergence. The proposed method is compared with the four popular dynamic constrained multiobjective evolutionary algorithms (DCMOEAs …”
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A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization von Chen, Guoyu, Guo, Yinan, Li, Changhe, Wang, Feng, Gong, Dunwei, Yuan, Liang

“… The existing dynamic constrained multiobjective evolutionary algorithms (DCMOEAs) normally focus on the convergence speed, but cannot well guarantee distribution …”
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A Multi-Criteria Game-Driven Constrained Multi-Objective Evolutionary Algorithm von Jia, Heming, Li, Yongchao, Li, Hongguang

“… To address these challenges, this paper proposes a Multi-Criteria Game-driven Constrained Multi-Objective Evolutionary Algorithm (MGCMOEA …”
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History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization von Zhang, Dezheng, Yu, Kunjie, Liang, Jing, Qiao, Kangjia, Qu, Boyang, Chen, Ke, Yue, Caitong, Wang, Ling

“… Dynamic constrained multiobjective optimization problems (DCMOPs) are widely encountered in real-world applications and have attracted increasing attention in the evolutionary computation community …”
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