计算技术与自动化Issue(1)：76-80,5.
一种多目标混合进化算法的研究
Research on a Multi-objective Hybrid Evolutionary Algorithm
梁国伟 1王社伟 1赵雪森1
作者信息
- 1. 空军航空大学 飞行器控制系，吉林 长春 130022
- 折叠
摘要
Abstract
A multi-objective hybrid evolutionary algorithm (MHEA)was put forward aiming at the shortcomings of the traditional genetic algorithm,which combines taboo search algorithm,immune algorithm and genetic algorithm.This algo-rithm avoids the premature phenomenon of the traditional genetic algorithm through importing the taboo search algorithm. The operator of adaptive mutation based on the density overcomes the problem of long solving process caused by the constant mutation probability and bad diversity of the solution.Then external elite set was introduced to avoid the loss of the optimal solution.Finally the simulation of ZDT series test functions and the comparison with NSGA-Ⅱ algorithm verifies the effec-tiveness of the algorithm.关键词
多目标优化/遗传算法/多目标混合进化算法/ZDT 测试函数Key words
Multi-objective optimization/genetic algorithm/MHEA/ZDT test functions分类
信息技术与安全科学引用本文复制引用
梁国伟,王社伟,赵雪森..一种多目标混合进化算法的研究[J].计算技术与自动化,2015,(1):76-80,5.
