.png){kind=icon}
返回
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems
.png){kind=icon}
PRE
AI
DOI：10.1109/TEVC.2022.3199775.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Solving multiobjective optimization problems (MOPs) through metaheuristic methods gets considerable attention. Based on the classical variation operators, several enhanced operators, as well as multiobjective optimization evolutionary algorithms, have been developed. Among these operators, the competitive swarm optimizer (CSO) exhibits promising performance. However, it encounters difficulties when tackling constrained MOPs (CMOPs) with large objective spaces or complex infeasible regions. In this article, a competitive and cooperative swarm optimizer is proposed, which contains two particle update strategies: 1) the CSO provides faster convergence speed to accelerate the approximation of the Pareto front and 2) the cooperative swarm optimizer suggests a mutual-learning strategy to enhance the ability to jump out of local feasible regions or local optima. We also present a new algorithm for CMOPs. The results on four benchmark suites with 47 instances demonstrate the superiority of our approach compared with other state-of-the-art methods. Additionally, its effectiveness on large-scale CMOPs has also been verified.
Keyword:
Competitive swarm optimizer (CSO)
constrained multiobjective optimization
evolutionary algorithm (EA)
large-scale optimization
期刊
IF:
12
论文数:
1.9K
被引数:
2.4W
机构
引用论文
.png){kind=icon}
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective OptimizationPlatEMO: 用于进化多目标优化的MATLAB平台
OAAI
OAAI分享收藏Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System基于并行单元坐标系的自适应多目标粒子群优化算法
PREAI
分享收藏Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach多目标进化算法: 比较案例研究和强度帕累托方法
PREAI
分享收藏分享收藏A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization进化多目标优化中考虑收敛性和多样性的增强优势关系OAAI
OAAI分享收藏
查看更多内容