Výsledky vyhledávání - "Constrained multi-objective evolutionary algorithm"

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 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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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. To address this issue, in…”
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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 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 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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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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A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation Autor Zou, Juan, Luo, Jian, Liu, Yuan, Yang, Shengxiang, Zheng, Jinhua

“…The core element in solving constrained multi-objective problems (CMOPs) with evolutionary algorithms is simultaneously balancing objective optimization and…”
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A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism Autor Yang, Zhe, Deng, Libao, Li, Chunlei, Qin, Yifan, Zhang, Lili

“…•Biased sampling using predicted similarity across multiple environments.•Improved prediction method applied as an initialization and search strategy.•Strategy…”
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A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning Autor Peng, Chaoda, Qiu, Shaojian

“… However, this has seldom been explored in this field. To remedy this issue, this paper proposes a decomposition-based constrained multi-objective evolutionary algorithm (M2M-DW…”
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A constrained multi-objective evolutionary algorithm assisted by an additional objective function Autor Yang, Yongkuan, Huang, Pei-Qiu, Kong, Xiangsong, Zhao, Jing

“… To this end, this paper proposes a novel constrained multi-objective evolutionary algorithm assisted by an additional objective function, called CMAOO…”
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A constrained multi-objective evolutionary algorithm using valuable infeasible solutions Autor Yuan, Jiawei, Liu, Hai-Lin, He, Zhaoshui

“…Many studies have shown that the effective mixture of feasible and infeasible solutions is beneficial to solve the constrained multi-objective optimization…”
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Constrained multi-objective evolutionary algorithm with an improved two-archive strategy Autor Li, Wei, Gong, Wenyin, Ming, Fei, Wang, Ling

“… Various constrained multi-objective evolutionary algorithms (CMOEAs) have been developed for the CMOPs in the last few decades…”
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Comprehensive benefit evaluation of mineral resources development based on dual population constrained multi-objective evolutionary algorithm Autor Yue, Xuezhi, Cheng, Yating, Kang, Lanlan, Peng, Hu, Zeng, Yuan

“… constrained multi-objective evolutionary algorithm (CMOEA). The algorithm uses two populations to organically combine the efficient convergence of the non-dominated sorting genetic algorithm II (NSGA-II…”
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A partition-based constrained multi-objective evolutionary algorithm Autor Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“…•The CMOP is divided into a series of sub-problems by objective space partition.•A hybrid constrained handling technique including the unconstrained search…”
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Neural architecture search for microscopic image segmentation using a constrained multi-objective evolutionary algorithm Autor Wang, Wei, Wang, Xianpeng, Dong, Zhiming

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Optimization of aerodynamic and anti-flutter performance of wind turbine blade airfoils using a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm Autor Su, Hongjie, Ma, Jianlong, Wang, Jianwen, Gao, Zhiying, Pan, Wenli, Li, Qiuyan, Yang, Long

“… Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm (HBC-CMOEA) with an optimized Non-Uniform Rational B-Spline…”
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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

“…With the increasing prevalence of constrained multi-objective optimization problems (CMOPs) in complex systems such as engineering design and intelligent…”
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A Domain Knowledge-Injected Constrained Multi-Objective Evolutionary Algorithm for Analog Integrated Circuit Design Autor Gao, Fengxuan, Zhao, Chunliang, Gong, Dunwei, Yan, Zhiqiang, Zhao, Huaiyu, Zheng, Qiming

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Optimization of Built-In Self-Test test chain configuration in 2.5D Integrated Circuits Using Constrained Multi-Objective Evolutionary Algorithm Autor Yang, Zhe, Deng, Libao, Li, Chunlei, Zhang, Lili

“…2.5D Integrated Circuit (2.5D IC) is an advanced packaging technology. This technology facilitates the dense integration of multiple dies by adding passive…”
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