Search Results - "Constrained Multi-objective Evolutionary Algorithm"

A double auxiliary optimization constrained multi-objective evolutionary algorithm by 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…”
Get full text

A constrained multi-objective evolutionary algorithm with Pareto estimation via neural network by 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…”
Get full text

A Pareto front estimation-based constrained multi-objective evolutionary algorithm by 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…”
Get full text

A constrained multi-objective evolutionary algorithm based on decomposition and dynamic constraint-handling mechanism by 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…”
Get full text

A Self-Adaptive Evolutionary Multi-Task Based Constrained Multi-Objective Evolutionary Algorithm by 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…”
Get full text

A dual dynamic constraint boundary based constrained multi-objective evolutionary algorithm for small feasible regions by 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…”
Get full text

A constrained multi-objective evolutionary algorithm based on fitness landscape indicator by 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…”
Get full text

A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation by 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…”
Get full text

A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism by 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…”
Get full text

A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning by 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…”
Get full text

A constrained multi-objective evolutionary algorithm assisted by an additional objective function by 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…”
Get full text

A constrained multi-objective evolutionary algorithm using valuable infeasible solutions by 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…”
Get full text

Constrained multi-objective evolutionary algorithm with an improved two-archive strategy by 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…”
Get full text

Comprehensive benefit evaluation of mineral resources development based on dual population constrained multi-objective evolutionary algorithm by 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…”
Get full text

A partition-based constrained multi-objective evolutionary algorithm by 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…”
Get full text

Neural architecture search for microscopic image segmentation using a constrained multi-objective evolutionary algorithm by Wang, Wei, Wang, Xianpeng, Dong, Zhiming

Get full text

Optimization of aerodynamic and anti-flutter performance of wind turbine blade airfoils using a Hybrid Bi-Directional Cooperative Constrained Multi-Objective Evolutionary Algorithm by 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…”
Get full text

From penalty function to learning-driven: evolution and perspectives of constrained multi-objective evolutionary algorithm by 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…”
Get full text

A Domain Knowledge-Injected Constrained Multi-Objective Evolutionary Algorithm for Analog Integrated Circuit Design by Gao, Fengxuan, Zhao, Chunliang, Gong, Dunwei, Yan, Zhiqiang, Zhao, Huaiyu, Zheng, Qiming

Get full text

Optimization of Built-In Self-Test test chain configuration in 2.5D Integrated Circuits Using Constrained Multi-Objective Evolutionary Algorithm by 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…”
Get full text