Search Results - constrained multi-objective (evolutionary OR evolution) algorithm

A dynamic dual-population co-evolution multi-objective evolutionary algorithm for constrained multi-objective optimization problems by Kong, Xiangsong, Yang, Yongkuan, Lv, Zhisheng, Zhao, Jing, Fu, Rong

“…Many multi-objective evolutionary algorithms are proposed to handle constrained multi-objective optimization problems…”
Get full text

A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio by 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…”
Get full text

A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems by 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…”
Get full text

An Indicator-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization by Zhong, Xiaoyu, Yao, Xiangjuan, Qiao, Kangjia, Gong, Dunwei, Jin, Yaochu

“…Most existing constrained multiobjective evolutionary algorithms (CMOEAs) experience a dramatic performance degradation when solving large-scale constrained multiobjective optimization problems (LSCMOPs…”
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 multi-objective evolutionary algorithm for steady-state constrained multi-objective optimization problems by Yang, Yongkuan, Liu, Jianchang, Tan, Shubin

“…Many multi-objective evolutionary algorithms (MOEAs) are developed to solve constrained multi-objective optimization problems (CMOPs…”
Get full text

A tri-population based co-evolutionary framework for constrained multi-objective optimization problems by 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…”
Get full text

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 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 two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization by 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…”
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

Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm by 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…”
Get full text

Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems by Yu, Xiaobing, Xu, Pingping, Wang, Feng, Wang, Xuming

“…). It is still challenging to automatically set efficient parameters for Constrained Multi-Objective Evolutionary Algorithms (CMOEAs…”
Get full text

A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints by 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…”
Get full text

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

An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization by Feng, Jian, Liu, Shaoning, Yang, Shengxiang, Zheng, Jun, Liu, Jinze

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

“…) 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…”
Get full text

A Multi-Criteria Game-Driven Constrained Multi-Objective Evolutionary Algorithm by Jia, Heming, Li, Yongchao, Li, Hongguang

“… To address these challenges, this paper proposes a Multi-Criteria Game-driven Constrained Multi-Objective Evolutionary Algorithm (MGCMOEA…”
Get full text

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

“… Many real-world optimization problems belong to constrained multi-objective optimization problems (CMOPs…”
Get full text

A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization by Zhang, Wei, Liu, Jianchang, Li, Lin, Liu, Yuanchao, Wang, Honghai

“…In recent years, constrained multi-objective optimization problems (CMOPs) have received wide attention…”
Get full text