【摘要】 人工鱼群算法是一种新型的群智能随机全局优化技术。然而该算法很难得到精确的最优解,而且算法在收敛性、计算复杂度等方面还有很大的缺陷。针对人工鱼群算法的这些不足,引入了改进的模拟退火算法和精英选择的思想对人工鱼群算法进行改进。以网络年综合费用最小为优化目标建立了配电网网架规划的数学模型,并利用改进后的人工鱼群算法求得该模型优化解,通过对具体实例的仿真实验,比较了人工鱼群算法改进前后对配电网网架规划进行优化的结果,同时验证了该方法的可行性和有效性。更多还原

【Abstract】 Artificial fish swarm algorithm(AFSA)is a stochastic global optimization technique proposed lately.But it can’t find the accurate optimal solution by using it.Considering its big objection in astringency and computing complicacy,this paper introduces the reformative simulated annealing algorithm and the idea of elitist choice,which can improve on the AFSA by using them.This paper sets up a mathematical model of distribution network structure planning,of which optimal goal is to get the least general charge of year.The solution can be gotten by using the reformative AFSA.In the end,according to the simulational experiment of material instance,this paper compares the result of optimizing the distribution network structure planning by using the reformative AFSA with the result by using AFSA,and the reformative AFSA’s feasibility and validity are verified.更多还原