摘要
遗传算法在解决多峰值最优化问题方面有其独特的优越性 ,但由于遗传算法仅依靠适应度函数值来评价和引导搜索 ,在优化过程中往往因为走了随机性的弯路而存在搜索速度较慢的缺陷。该文在标准遗传算法的基础上 ,引入边界搜索思想以改善算法的搜索路径 ,加速算法的搜索进程 ,并将其应用于电网扩展规划。
Genetic algorithm(GA)has been proved a powerful tool for global optimality, especially in the multi peaks optimization problem. But it has a weakness in taking too much time to reach a satisfactory solution because of only depending on its' fitness function. Based on standard GA, this paper presents a new improved GA based on borderline search strategy which is used to speed up GAs' search tenor. Practical application of this method proves that it is effective.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第11期41-45,共5页
Proceedings of the CSEE
关键词
电网扩展规划
遗传算法
边界搜索策略
transmission network expansion planning
genetic algorithm
borderline search
