摘要
提出一种基于稳定参数控制的改进遗传算法。该算法不仅保持了种群多样性,而且通过突变算子引入了新的搜索空间,使算法更容易找到全局最优区域,缩短了传统遗传算法要跳出局部最优区域所消耗的迭代时间。将该算法应用于重庆某10kV辐射状配电网络规划,结果表明该算法在收敛性能和搜索能力上比其他遗传算法有较大提高,在全局寻优性能上也优于其它遗传算法。
An improved GA on evolutionary stable strategy is presented aiming at distribution network. The Method not only keeps the variety characteristic, but also extends the searching space through mutation factor. It＇s easy to find the global optimized area and reduce the chance to draw into local optimized area, So the calculation time is reduced, The result of an example of radiate distribution network in Chongqing shows that the constriction and searching performance based on ESSGA proved more than the traditional GA in the distribution network planning.
出处
《电网技术》
EI
CSCD
北大核心
2006年第10期50-53,74,共5页
Power System Technology
关键词
配电网规划
进化稳定策略
遗传算法
distribution network planning
evolutionarily stable strategy
genetic algorithm
