摘要
提出一种基于相异因子的遗传算法最优保存策略,该策略首先产生与最优个体相异因子较大而目标值相近的个体,然后用该个体依次替换种群中与最劣个体相似因子较大且目标值相近的个体,既保证了种群的多样性,又加快了种群收敛速度,收敛效率明显提高。
An elitist preserved strategy based on dissimilarity factor in genetic algorithms is presented,which generates an individual that has big dissimilarity factor to the optimal individual and its fitness is close to the optimal individual,and uses the individual to replace the individuals which have big similarity factor to the worst individual and those fitness is close to the worst individual,the strategy not only ensures the diversity of population,but also speeds up the convergence rate,improves the convergence efficiency.
出处
《微型机与应用》
2011年第9期82-83,86,共3页
Microcomputer & Its Applications
基金
山西省高校科技开发项目(20091151)
运城学院2009年度院级基础研究项目(JC-2009017)
关键词
相异因子
相似因子
海明距离
最优保存
遗传算法
dissimilarity factor
similarity factor
hamming distance
elitist preserved
genetic algorithm
