基于GASA混合优化策略的双层规划模型求解算法研究

被引:14
作者
刘伟铭
姜山
机构
[1] 长沙交通学院,长沙交通学院
关键词
双层规划; 遗传算法; 模拟退火算法; GASA混合优化策略; 备用能力;
D O I
10.15951/j.tmgcxb.2003.07.006
中图分类号
U491.227 [];
学科分类号
082302 ; 082303 ;
摘要
本文提出用遗传—模拟退火算法(GASA)混合优化策略来求解双层规划模型。混合优化策略结合了遗传算法的并行结构和模拟退火算法的概率突跳性,提高了找到全局最优解的可靠性和计算效率。数值模拟实验表明算法性能良好,GASA混合优化策略求得全局最优解时的进化代数比单一的遗传算法减少约35%,比模拟退火算法的迭代次数减少约50%。
引用
收藏
页码:27 / 32
页数:6
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