Search Results - constrained multi-objective optimisation problems*

A multi-task multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Liu, Tianyu, Wu, Yu, Xu, He

“…) to solve constrained multi-objective optimization problems. The algorithm includes three optimization tasks…”
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A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“…Many multi-objective evolutionary algorithms are proposed to handle constrained multi-objective optimization problems…”
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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

“…, but they encounter difficulties in their ability for constrained multi-objective optimization problems (CMOPs…”
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New Newton Group Iterative Methods for Solving Large-Scale Multi-Objective Constrained Optimization Problems by Cheng, Peng, Sulaiman, Jumat, Ghazali, Khadizah, Ali, Majid Khan Majahar, Xu, Ming Ming

“… Solving large-scale multi-objective constrained optimization problems can help to solve many practical engineering and scientific problems…”
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A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Yang, Yongkuan, Yan, Bing, Kong, Xiangsong

“…Balancing between the convergence, feasibility, and diversity of the population is the key to solving constrained multi-objective optimization problems (CMOPs…”
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A multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“…Many multi-objective evolutionary algorithms (MOEAs) are developed to solve constrained multi-objective optimization problems (CMOPs…”
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MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems by Fan, Zhun, Fang, Yi, Li, Wenji, Cai, Xinye, Wei, Caimin, Goodman, Erik

“…), to solve constrained multi-objective optimization problems (CMOPs). In this work, the mechanism of ACDP is embedded in a decomposition-based multi-objective evolutionary algorithm (MOEA/D…”
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Improved selection in evolutionary multi–objective optimization of multi–skill resource–constrained project scheduling problem by Laszczyk, Maciej, Myszkowski, Paweł B.

“…•Several selection NSGA-II modifications: population management, tournament selection, crowding distance and rank operators.•Clone prevention mechanism usage…”
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A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems by Yang, Yufei, Zhang, Changsheng

“…Satisfying various constraints and multiple objectives simultaneously is a significant challenge in solving constrained multi-objective optimization problems…”
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A self-organizing assisted multi-task algorithm for constrained multi-objective optimization problems by Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Dai, Rui

“…Constrained multi-objective optimization problems (CMOPs) require a delicate balance between satisfying constraints and optimizing objectives…”
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A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems by McNulty, Alanna, Ombuki-Berman, Beatrice, Engelbrecht, Andries

“… These problems are referred to as constrained multi-objective optimization problems (CMOPs). Many meta-heuristics for solving CMOPs, called constrained multi-objective meta-heuristics (CMOMHs…”
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A symbiotic organisms search algorithm-based design optimization of constrained multi-objective engineering design problems by Ustun, Deniz, Carbas, Serdar, Toktas, Abdurrahim

“… to live on and breed within the ecosystem, for constrained multi-objective engineering design problems…”
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BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems by Li, Xiang, Du, Gang

“… Based on the boundary simulation method and trie-tree data structure, this paper proposes a hybrid genetic algorithm to solve constrained multi-objective optimization problems (CMOPs…”
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A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm by Li, Xin, An, Qing, Zhang, Jun, Xu, Fan, Tang, Ruoli, Dong, Zhengcheng, Zhang, Xiaodi, Lai, Jingang, Mao, Xiaobing

“…Multi-constrained multi-objective optimization is a challenging topic, which is very common in dealing with real-world problems…”
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Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection by Ming, Fei, Gong, Wenyin, Wang, Ling, Jin, Yaochu

“…Solving constrained multi-objective optimization problems with evolutionary algorithms has attracted considerable attention…”
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A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems by Shi, Chenli, Wang, Ziqi, Jin, Xiaohang, Xu, Zhengguo, Wang, Zhangsheng, Shen, Peng

“…Lots of real-world optimization problems are inherently constrained multi-objective optimization problems (CMOPs…”
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A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems by Jiao, Licheng, Luo, Juanjuan, Shang, Ronghua, Liu, Fang

“…•Feasible-guiding strategy promotes the convergence of obtained non-nominated solutions. For constrained multi-objective optimization problems (CMOPs…”
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A comparative study of constrained multi-objective evolutionary algorithms on constrained multi-objective optimization problems by Zhun Fan, Yi Fang, Wenji Li, Jiewei Lu, Xinye Cai, Caimin Wei

“…Solving constrained multi-objective optimization problems is a difficult task, it needs to simultaneously optimize multiple conflicting objectives and a number of constraints…”
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Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm by Zhu, Junhua, Yu, Xiaobing, Wang, Feng, Mao, Yaqi

“… To address constrained multi-objective optimization problems (CMOPs), a recent evolutionary multi-tasking (EMT…”
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A multi-objective African vultures optimization algorithm with binary hierarchical structure and tree topology for big data optimization by Liu, Bo, Zhou, Yongquan, Wei, Yuanfei, Luo, Qifang

“…•The performance of MO_Tree_BHSAVOA is evaluated using the CEC2020 test suite and compared with several state-of-the-art multi-objective algorithms…”
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