Výsledky vyhľadávania - (dynamic OR dynamik) constrained multiobjective evolutionary algorithm

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems Autor 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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Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization Autor 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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Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm Autor 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 Selection Preference-Assisted Constrained Multiobjective Differential Evolution Autor 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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Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization Autor 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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Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking Autor 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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A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization Autor 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 Autor 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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DpEA: A dual-population evolutionary algorithm for dynamic constrained multiobjective optimization Autor 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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Enhancing Dynamic Constrained Multiobjective Optimization With Multicenters-Based Prediction Autor 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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A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm Autor 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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History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization Autor 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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Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization Autor 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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A Subspace Sparsity-Driven Knowledge Transfer Strategy for Dynamic Constrained Multiobjective Optimization Autor 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 dynamic constrained multiobjective evolutionary algorithm based on decision variable classification Autor Guo, Yinan, Huang, Mingyi, Chen, Guoyu, Gong, Dunwei, Liang, Jing, Yu, Zekuan

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A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization Autor 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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Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization Autor 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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Multiobjective Ant Colony Optimization Algorithm Based on Dynamic Constraint Evaluation Strategy for Highly Constrained Optimization Autor 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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Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization Autor Dong, Lisha, Wang, Qianhui, Liu, Qiongfang, Ji, Junkai, Wong, Ka-Chun, Lin, Qiuzhen

“… To address these problems, this paper proposes a dynamic constrained multiobjective evolutionary algorithm with feasibility-guided search and prediction (called FGSP…”
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A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization Autor 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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