Suchergebnisse - "Constrained Multi-Objective Optimization Problems"

Push and pull search for solving constrained multi-objective optimization problems von 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 Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results von 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 von Sadollah, Ali, Eskandar, Hadi, Kim, Joong Hoon

“… •Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems.•Generational distance, metric of …”
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Constrained multi-objective optimization problems: Methodologies, algorithms and applications von Hao, Yuanyuan, Zhao, Chunliang, Zhang, Yiqin, Cao, Yuanze, Li, Zhong

“… Constrained multi-objective optimization problems (CMOPs) are widespread in practical applications such as engineering design, resource allocation, and scheduling optimization …”
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MOEA/D with angle-based constrained dominance principle for constrained multi-objective optimization problems von 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 dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems von Zou, Juan, Sun, Ruiqing, Yang, Shengxiang, Zheng, Jinhua

“… •The proposed algorithm is competitive when compared to the Dual-popualtion CMOEAs. It is challenging to solve constrained multi-objective optimization problems (CMOPs …”
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A tri-population based co-evolutionary framework for constrained multi-objective optimization problems von Ming, Fei, Gong, Wenyin, Wang, Ling, Lu, Chao

“… •Experiments verified the superiority and the versatility of the framework. Balancing between the optimization of objective functions and constraint satisfaction is essential to handle constrained multi-objective optimization problems (CMOPs …”
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A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio von 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 von 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 dual-population based bidirectional coevolution algorithm for constrained multi-objective optimization problems von Bao, Qian, Wang, Maocai, Dai, Guangming, Chen, Xiaoyu, Song, Zhiming, Li, Shuijia

“… The balance between multiple objectives and various constraints is the key to solving constrained multi-objective optimization problems (CMOPs …”
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Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems von Yu, Xiaobing, Xu, Pingping, Wang, Feng, Wang, Xuming

“… Many real-world problems can be established as Constrained Multi-objective Optimization Problems (CMOPs …”
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Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems von Fan, Zhun, Wang, Zhaojun, Li, Wenji, Yuan, Yutong, You, Yugen, Yang, Zhi, Sun, Fuzan, Ruan, Jie

“… In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs …”
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A self-organizing assisted multi-task algorithm for constrained multi-objective optimization problems von 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 Coevolutionary Response Framework for Dynamic Constrained Multi-Objective Optimization Problems von Bao, Qian, Wang, Maocai, Yang, Shengxiang, Dai, Guangming, Chen, Xiaoyu

“… Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints …”
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An archive-based two-stage evolutionary algorithm for constrained multi-objective optimization problems von Bao, Qian, Wang, Maocai, Dai, Guangming, Chen, Xiaoyu, Song, Zhiming, Li, Shuijia

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An Instance Space Analysis of Constrained Multi-Objective Optimization Problems von Alsouly, Hanan, Kirley, Michael, Munoz, Mario Andres

“… Constrained multi-objective optimization problems (CMOPs) are generally more challenging than unconstrained problems …”
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A dual-population based two-archive coevolution algorithm for constrained multi-objective optimization problems von Chen, Miao, Zhao, Shijie, Zhang, Tianran, Zhang, Lei

“… How to balance the objectives and constraints better is the key to solving constrained multi-objective optimization problems (CMOPs …”
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Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems von Qiao, Kangjia, Liang, Jing, Yu, Kunjie, Ban, Xuanxuan, Yue, Caitong, Qu, Boyang, Suganthan, Ponnuthurai Nagaratnam

“… Constrained multi-objective optimization problems (CMOPs) generally contain multiple constraints, which not only form multiple discrete feasible regions …”
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Bi-directional search based on constraint relaxation for constrained multi-objective optimization problems with large infeasible regions von Wang, Yubo, Huang, Kuihua, Gong, Wenyin, Ming, Fei

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A multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems von 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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