摘要
为改善标准遗传算法的优化性能,延长种群搜索过程,提出了完全自适应策略的遗传算法.自适应策略不仅基于进化阶段,同时基于个体,特别采用了自适应的适应值转换策略,大大降低了早熟的概率,保证算法能以较大的概率收敛到全局最优解.
In order to improve SGA＇s optimization ability and to prolong its searching process, a new genetic algorithm based on a completely self-adaptive strategy is put forward. With the strategy in its evolutionary stage and based on individuality, this algorithm greatly reduces the probability of precociousness and reaches a general optimal solution in higher probability by using the strategy of converting fitness.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2007年第5期136-139,共4页
Journal of Central South University of Forestry & Technology
基金
湖南省自然科学基金研究项目(05JJ30189)
