Výsledky vyhledávání - constrained multi-objective evolutionary algorithm

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

“…Constrained multi-objective evolutionary algorithms often struggle to simultaneously achieve both objective optimization and constraint satisfaction, particularly when dealing with multi-objective…”
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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 Preference Model-Based Surrogate-Assisted Constrained Multi-Objective Evolutionary Algorithm for Expensively Constrained Multi-Objective Problems Autor Sun, Yu, Ma, Yifan, Hua, Bei

“…In the context of expensive constraint multi-objective problems, it is evident that the feasible domain shapes and sizes of different problems vary considerably…”
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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 Multi‐Objective Evolutionary Algorithm Based on Bilayered Decomposition for Constrained Multi‐Objective Optimization Autor Yasuda, Yusuke, Kumagai, Wataru, Tamura, Kenichi, Yasuda, Keiichiro

“…This paper proposes a multi‐objective evolutionary algorithm based on bilayered decomposition (MOEA/BLD…”
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A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm Autor Qiao, Kangjia, Liang, Jing, Yu, Kunjie, Wang, Minghui, Qu, Boyang, Yue, Caitong, Guo, Yinan

“… Most constrained multi-objective evolutionary algorithms (CMOEAs) are prone to fall into the local optima due to the imbalance between objectives and constraints as well as the poor search ability of the population…”
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A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems Autor Yang, Yongkuan, Yan, Bing, Kong, Xiangsong

“…). However, the existing constrained multi-objective optimization evolutionary algorithm (CMOEAs) face challenges in converging to the constrained pareto front…”
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A multi-stage multi-task evolutionary algorithm for constrained multi-objective optimization Autor Wang, Haoyu, Yu, Xiaobing, Wang, Xuming

“… While auxiliary problems have been widely adopted in recent constrained multi-objective evolutionary algorithms (CMOEAs…”
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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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Dynamic-multi-task-assisted evolutionary algorithm for constrained multi-objective optimization Autor Ye, Qianlin, Wang, Wanliang, Li, Guoqing, Wang, Zheng

“… optimization problems demand additional consideration of the treatment of constraints. Recently, many constrained multi-objective evolutionary algorithms…”
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A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle Autor Gu, Qinghua, Bai, Jiaming, Li, Xuexian, Xiong, Naixue, Lu, Caiwu

“…There are various constraints in many real engineering problems, and the constrained handling methods play a key role in the constrained multi-objective evolutionary algorithms (CMOEAs…”
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A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem Autor 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 multi-dimensional co-evolutionary algorithm for multi-objective resource-constrained flexible flowshop with robotic transportation Autor Li, Jia-ke, Li, Rong-hao, Li, Jun-qing, Yu, Xin, Xu, Ying

“…, resource-dependent processing, robotic arm loading, and transportation. To solve the considered problem, a multi-dimensional co-evolutionary algorithm (MDCEA…”
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A Multi-Period Constrained Multi-Objective Evolutionary Algorithm with Orthogonal Learning for Solving the Complex Carbon Neutral Stock Portfolio Optimization Model Autor Chen, Yinnan, Ye, Lingjuan, Li, Rui, Zhao, Xinchao

“…). At present, due to the influence of modeling and algorithm solving, the PO models established by many researchers are still mainly focused on single-stage single-objective models or single-stage multi-objective models…”
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Constrained multi-objective optimization using constrained non-dominated sorting combined with an improved hybrid multi-objective evolutionary algorithm Autor Ning, Weikang, Guo, Baolong, Yan, Yunyi, Wu, Xianxiang, Wu, Jinfu, Zhao, Dan

“…Constrained multi-objective optimization problems (cMOPs) are complex because the optimizer should balance not only between exploration and exploitation, but also between feasibility and optimality…”
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A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems Autor Shi, Chenli, Wang, Ziqi, Jin, Xiaohang, Xu, Zhengguo, Wang, Zhangsheng, Shen, Peng

“…), but the existing constrained multi-objective optimization evolutionary algorithms (CMOEAs) often fail to balance convergence and diversity effectively…”
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Parallel Multi-Objective Evolutionary Algorithm for Constrained Multi-Objective Optimization Autor Belaiche, Leyla, Kahloul, Laid, Grid, Maroua, Abidallah, Nedjma, Benharzallah, Saber

“… Constrained multi-objective evolutionary algorithms (CMOEA) are a suitable class of based-evolutionary algorithms for finding a solution to CMOP problems…”
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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 Pareto front estimation-based constrained multi-objective evolutionary algorithm Autor Cao, Jie, Yan, Zesen, Chen, Zuohan, Zhang, Jianlin

“…The balance of convergence, diversity, and feasibility plays a pivotal role in constrained multi-objective optimization problems…”
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A constrained multi-objective evolutionary algorithm with Pareto estimation via neural network Autor Liu, Zongli, Zhao, Peng, Cao, Jie, Zhang, Jianlin, Chen, Zuohan

“…) lies in achieving a balance among convergence, diversity, and feasibility. To address this issue, this paper proposes a constrained multi-objective evolutionary algorithm with Pareto estimation via neural network named CMOEA-PeNN…”
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