摘要
针对遗传算法在复杂问题应用中收敛速度十分缓慢的不足 ,本文引入收敛性因子和进程因子对种群进化的交叉概率和变异概率进行自适应调节 ,提出了可自适应调节参数的改进遗传算法 .该算法很好地增强了遗传算法的全局搜索能力 ,提高了收敛速度 .通过比较几个优化实例 。
In order to solve the problem of slow convergent speed of Genetic Algorithm (GA) in its application to complex optimal searching, this paper presents a new modified genetic algorithm . With the introduction of convergence operator and proceeding operator, which can enhance global searching ability and quicken convergent speed of the canonical genetic algorithm, the new algorithm can adaptively adjust the probabilities of crossover and mutation. Several optimization examples are given in this paper to compare the proposed algorithm with the existing adaptive algorithms and to demonstrate the effectiveness of the algorithm.
出处
《信息与控制》
CSCD
北大核心
2003年第6期556-560,共5页
Information and Control
基金
国家科技攻关计划资助项目 ( 2 0 0 1BA2 0 4B0 1)
