数码设计Issue(19)：98-100,3.
基于小生境和模糊支配结合的高维多目标进化算法
Many-objective Evolutionary Algorithm Based on the Combination of Niche and Fuzzy Dominance
陈昱1
作者信息
- 1. 南宁师范大学计算机与信息工程学院,南宁 530100
- 折叠
摘要
Abstract
This article proposes a high-dimensional multi-objective evolutionary algorithm MaOEA/NF based on the combination of niche and fuzzy dominance,which improves the algorithm's performance by combining niche and fuzzy dominance.This article conducts performance experiments on the DTLZ1-DTLZ4 test problems of the algorithm and four high-dimensional multi-objective evolutionary algorithms under three objectives.The experimental results indicate that the algorithm is a competitive many-objective evolutionary algorithm.关键词
高维多目标进化算法/模糊支配/小生境/解集质量Key words
many-objective evolutionary algorithm/fuzzy dominance/niche/solution quality分类
信息技术与安全科学引用本文复制引用
陈昱..基于小生境和模糊支配结合的高维多目标进化算法[J].数码设计,2024,(19):98-100,3.
