摘要
针对用遗传算法求解约束优化问题时,初始种群产生的方法进行了研究,提出了初始种群产生的一种新方法.实验证明,该方法较直接利用随机数产生初始种群的方法,具有更快的运算速度.
The productive method on the initial population is studied by using genetic algorithms to solve the constrained optimization problems. The study gives the new method of initial population evolution. By using this method, the speed of caculation is obviously faster than that of using the random caculation directly to evolve the initial population.
出处
《数学的实践与认识》
CSCD
北大核心
2006年第5期177-183,共7页
Mathematics in Practice and Theory
关键词
遗传算法
约束优化问题
初始种群
产生方法
genetic algorithms
constrained optimization problems
initial populationproductive method
