Search Results - Constrained Multi-objective Optimisation problem

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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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-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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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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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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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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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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Multiple populations co-evolutionary particle swarm optimization for multi-objective cardinality constrained portfolio optimization problem by Zhao, Hong, Chen, Zong-Gan, Zhan, Zhi-Hui, Kwong, Sam, Zhang, Jun

“… This is usually called the portfolio optimization problem (POP). When the cardinality constrained (CC…”
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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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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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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 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 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 multi-input and dual-output wind speed interval forecasting system based on constrained multi-objective optimization problem and model averaging by Lv, Mengzheng, Wang, Jianzhou, Wang, Shuai, Zhao, Yang, Gao, Jialu, Wang, Kang

“…•Two constrained bi-objective optimization problems are established and solved.•An algorithm specifically solving constrained multi-objective problem is employed…”
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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 multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem by Hemici, Meriem, Zouache, Djaafar

“… This paper proposes a new multi-objective evolutionary algorithm based on multi-population, called MP-MOEA, to handle the multi-objective constrained portfolio optimization problem (MOCPOP…”
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A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results by Kumar, Abhishek, Wu, Guohua, Ali, Mostafa Z., Luo, Qizhang, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam, Das, Swagatam

“…). To fill this gap, we develop a benchmark suite of Real-world Constrained Multi-objective Optimization Problems (RWCMOPs…”
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Water cycle algorithm for solving constrained multi-objective optimization problems by Sadollah, Ali, Eskandar, Hadi, Kim, Joong Hoon

“…•Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems…”
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Push and pull search for solving constrained multi-objective optimization problems by Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“…This paper proposes a push and pull search (PPS) framework for solving 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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