Výsledky vyhledávání - constrained multi-objective (evolutionary OR evolution) algorithm

A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems Autor 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 Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Wang, Honghai

“…Most current evolutionary multi-objective optimization (EMO) algorithms perform well on multi-objective optimization problems without constraints…”
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A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems Autor 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 multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems Autor 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 double auxiliary optimization constrained multi-objective evolutionary algorithm Autor Yang, Yongkuan, Yan, Bing, Kong, Xiangsong, Zhao, Jing

“… Motivated by this inspiration, we propose a double auxiliary optimization constrained multi-objective evolutionary algorithm, namely DAO…”
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A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“… Some constrained multi-objective evolutionary algorithms (CMOEAs) have been developed for CMOPs, but they still suffer from the problems of easily getting trapped into local optimal solutions and low convergence…”
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A dual dynamic constraint boundary based constrained multi-objective evolutionary algorithm for small feasible regions Autor Zhu, Cong, Yang, Yongkuan, Kong, Xiangsong, Yang, Yanxiang

“… struggle to balance feasibility, diversity, and convergence within the population. To overcome this challenge, we propose a dual dynamic constraint boundary-based constrained multi-objective evolutionary algorithm, referred to as TPDCB…”
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An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multi-objective Optimization Autor Zhong, Xiaoyu, Yao, Xiangjuan, Qiao, Kangjia, Gong, Dunwei, Jin, Yaochu

“…Most existing constrained multi-objective evolutionary algorithms (CMOEAs) experience a dramatic performance degradation when solving large-scale constrained multi-objective optimization problems (LSCMOPs…”
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A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization Autor Dong, Jun, Gong, Wenyin, Ming, Fei, Wang, Ling

“… This paper proposes a two-stage constrained multi-objective evolutionary algorithm (CMOEA) with different emphases on the three indicators…”
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A tri-population based co-evolutionary framework for constrained multi-objective optimization problems Autor Ming, Fei, Gong, Wenyin, Wang, Ling, Lu, Chao

“…). Recently, various methods have been presented to enhance the performance for the constrained multi-objective optimization evolutionary algorithms (CMOEAs…”
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A constrained multi-objective evolutionary algorithm based on fitness landscape indicator Autor Fang, Jingjing, Liu, Hai-Lin, Gu, Fangqing

“… Considering the different requirements of different problems on resource allocation of exploration and exploitation, this paper proposes a new constrained multi-objective evolutionary algorithm based…”
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Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm Autor Ali, Aamir, Abbas, Ghulam, Keerio, Muhammad Usman, Koondhar, Mohsin Ali, Chandni, Kiran, Mirsaeidi, Sohrab

“…An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms…”
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Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems Autor Yu, Xiaobing, Xu, Pingping, Wang, Feng, Wang, Xuming

“…). It is still challenging to automatically set efficient parameters for Constrained Multi-Objective Evolutionary Algorithms (CMOEAs…”
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A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints Autor Ma, Haiping, Wei, Haoyu, Tian, Ye, Cheng, Ran, Zhang, Xingyi

“…Constrained multi-objective optimization problems (CMOPs) are difficult to handle because objectives and constraints need to be considered simultaneously, especially when the constraints are extremely complex…”
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A partition-based constrained multi-objective evolutionary algorithm Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“… To remedy this issue, this paper proposes a multi-objective differential evolutionary algorithm based on partition selection (MODE-PS…”
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From penalty function to learning-driven: evolution and perspectives of constrained multi-objective evolutionary algorithm Autor Hu, Min, Huang, Gang, Yang, Xueying, Xiao, Jinwei, Wang, Xun, Zhang, Tiantian

“…) in complex systems such as engineering design and intelligent manufacturing, reconciling constraints and multi-objective conflicts in dynamic environments has become a key challenge in evolutionary algorithm research…”
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An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization Autor Feng, Jian, Liu, Shaoning, Yang, Shengxiang, Zheng, Jun, Liu, Jinze

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Differential evolution mutation operators for constrained multi-objective optimization Autor Yu, Xiaobing, Yu, Xianrui, Lu, Yiqun, Yen, Gary G., Cai, Mei

“… Many real-world optimization problems belong to constrained multi-objective optimization problems (CMOPs…”
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A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization Autor Zhang, Wei, Liu, Jianchang, Li, Lin, Liu, Yuanchao, Wang, Honghai

“…In recent years, constrained multi-objective optimization problems (CMOPs) have received wide attention…”
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An evolutionary algorithm with directed weights for constrained multi-objective optimization Autor Peng, Chaoda, Liu, Hai-Lin, Gu, Fangqing

“… .•The sensitivity of the parameters have been experimentally investigated. When solving constrained multi-objective optimization problems (CMOPs…”
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