Výsledky vyhľadávania - Constrained optimization evolutionary algorithms

A General Framework of Dynamic Constrained Multiobjective Evolutionary Algorithms for Constrained Optimization Autor Sanyou Zeng, Ruwang Jiao, Changhe Li, Xi Li, Alkasassbeh, Jawdat S.

“…) a method of gradually reducing the niche size aims to handle the multimodal difficulty. A general framework of the design of dynamic constrained multiobjective evolutionary algorithms is proposed for solving DCMOPs…”
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A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization Autor Cai, Zixing, Wang, Yong

“…A considerable number of constrained optimization evolutionary algorithms (COEAs) have been proposed due to increasing interest in solving constrained optimization problems…”
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Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization Autor Li, Ke, Chen, Renzhi, Fu, Guangtao, Yao, Xin

“… To address this issue, this paper proposes a parameter-free constraint handling technique, a two-archive evolutionary algorithm, for constrained multiobjective optimization…”
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A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization Autor Ming, Mengjun, Trivedi, Anupam, Wang, Rui, Srinivasan, Dipti, Zhang, Tao

“… Their imbalance can easily cause the failure of a constrained multiobjective evolutionary algorithm (CMOEA…”
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A novel competitive constrained dual-archive dual-stage evolutionary algorithm for constrained multiobjective optimization Autor Zhou, Tianwei, He, Pengcheng, Niu, Ben, Yue, Guanghui, Wang, Hong

“… To address this issue, a novel competitive constrained dual-archive dual-stage evolutionary algorithm, named c-DADSEA, is proposed with a convergence-driven archive (CA…”
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A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions Autor Zeng, Yong, Cheng, Yuansheng, Liu, Jun

“…This article proposes a surrogate-assisted evolutionary algorithm to tackle expensive inequality-constrained optimization problems through global exploration and local exploitation…”
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Solving many-objective delivery and pickup vehicle routing problem with time windows with a constrained evolutionary optimization algorithm Autor Ou, Junwei, Liu, Xiaolu, Xing, Lining, Lv, Jimin, Hu, Yaru, Zheng, Jinhua, Zou, Juan, Li, Mengjun

“… This paper proposes a constrained evolutionary optimization algorithm, called CEOA, for solving many-objective VRP with simultaneous delivery, pickup, and time windows (VRPSDPTW…”
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A Novel Dual-Stage Dual-Population Evolutionary Algorithm for Constrained Multiobjective Optimization Autor Ming, Mengjun, Wang, Rui, Ishibuchi, Hisao, Zhang, Tao

“…). However, most of the existing constrained multiobjective evolutionary algorithms (CMOEAs) cannot effectively explore and exploit those solutions and, therefore, exhibit poor performance when facing problems with large infeasible regions…”
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Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications Autor Radaideh, Majdi I., Shirvan, Koroush

“…) in constrained optimization. First, RL proximal policy optimization agents are trained to master matching some of the problem rules/constraints, then RL is used to inject experiences to guide various evolutionary/stochastic…”
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A fast generalized surrogate−assisted evolutionary algorithm for solving expensive constrained optimization problems Autor Liu, Genggeng, Su, Xuehui, Zhou, Ruping, Liu, Nengxian, Zhang, Liyuan, Tian, Ye

“…Traditional evolutionary algorithms (EAs) often require a large number of function evaluations (FEs…”
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A strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization Autor Zhang, Wei, Liu, Jianchang, Liu, Junhua, Liu, Yuanchao, Tan, Shubin

“… Given the above fact, we propose a strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization (SCEA…”
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Benchmarking evolutionary algorithms for single objective real-valued constrained optimization – A critical review Autor Hellwig, Michael, Beyer, Hans-Georg

“… This paper presents common principles that need to be taken into account when considering benchmarking problems for constrained optimization…”
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A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems Autor Chen, Qingda, Ding, Jinliang, Yang, Shengxiang, Chai, Tianyou

“…, we design a dynamic constrained multiobjective optimization algorithm with a nondominated solution selection operator…”
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Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems Autor Yuan, Jiawei, Liu, Hai-Lin, Ong, Yew-Soon, He, Zhaoshui

“…To prevent the population from getting stuck in local areas and then missing the constrained Pareto front fragments in dealing with constrained multiobjective optimization problems (CMOPs…”
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Multiobjective Optimization and Hybrid Evolutionary Algorithm to Solve Constrained Optimization Problems Autor Wang, Yong, Cai, Zixing, Guo, Guanqi, Zhou, Yuren

“…This paper presents a novel evolutionary algorithm (EA) for constrained optimization problems, i.e…”
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Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random Variables Autor Neumann, Frank, Witt, Carsten

“… With this paper, we contribute to the theoretical understanding of evolutionary algorithms for chance-constrained optimization…”
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Synchronous Wireless Sensor and Sink Placement Method Using Dual-Population Co-evolutionary Constrained Multiobjective Optimization Algorithm Autor Yu, Qianqian, Yang, Chen, Dai, Guangming, Peng, Lei, Chen, Xiaoyu

“… Accordingly, a dual-population constrained multiobjective optimization (DCCMO) algorithm, which includes new crossover and mutation operators, was developed…”
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A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization Autor Xie, Shumin, Li, Kangshun, Wang, Wenxiang, Wang, Hui, Peng, Chaoda, Jalil, Hassan

“…Both dual-population and two-phase strategies are effective for utilizing infeasible solution information and significantly enhancing the ability of algorithms to solve constrained multiobjective optimization problems…”
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Personalized Indicator Based Evolutionary Algorithm for Uncertain Constrained Many‐Objective Optimization Problem With Interval Functions Autor Wen, Jie, Wang, Qian, Dong, Haozhe, Cui, Zhihua

“…‐objective optimization problem with interval parameters (ICMaOPs). These problems pose significant challenges for evolutionary algorithms, particularly in balancing solution convergence, diversity, feasibility, and uncertainty…”
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Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables Autor Neumann, Frank, Witt, Carsten

“… With this paper, we contribute to the theoretical understanding of evolutionary algorithms for chance constrained optimization…”
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