摘要
遗传算法是一种根据自然界优胜劣汰的进化机理进行搜索和寻优的方法．在求解电网规划问题时，基于遗传算法在电网规划计算中可能陷入局部收敛而无法达到全局最优，本文引入模拟退火技术，并提出了混合遗传－模拟退火算法．计算结果表明。
Genetic algorithm (GA) is used in many kinds of optimization calculation in power system. In solving the problem of electric network planning, a planning approach based on GAs might fall into the local optimal point and could not reach the global optimum. Hence, a simulated annealing technology was introduced based on the existing network planning algorithm and the mixed genetic simulated annealing algorithms were proposed. The calculated results show that the improved algorithm contributes to the jumping out of the local optimum and the approaching of the global optimum of the system.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1999年第4期485-487,共3页
Journal of Shanghai Jiaotong University
关键词
电力系统规划
遗传算法
模拟退火算法
电力网
electric power system planning
genetic algorithms
simulated annealing algorithms
local convergence
