摘要
使用一种新的重组算子和适值函数尺度变换,提出了基于相对下限的遗传算法,并理论分析了该算法的收敛性。实验表明,该算法能较好地平衡种群多样性和选择压力的关系。
With a new recombination operator and fitness scaling, a genetic algorithm based the relative low - limit is proposed. The convergence analysis of the algorithm is given too. It is proved that RLLGA can well realize the parallel between population diversity and selective pressure by experiments.
出处
《湖南理工学院学报（自然科学版）》
CAS
2003年第4期41-43,共3页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
关键词
相对下限
遗传算法
重组算子
适值函数
尺度变换
种群
多样性
选择压力
relative low - limit
genetic algorithm
recombination operator
fitness scaling
convergence
population diversity
selective pressure
