文档介绍：Computer Engineering and Applications计算机工程与应用 2011,47(4) 5
基于变异操作的蚁群算法用于连续函数优化
高芳 1,2,韩璞 1,翟永杰 1
GAO Fang1,2,HAN Pu1,ZHAI Yongjie1
,河北保定 071003
,河北保定 071002
of Control puter Engineering,North China Electric Power University,Baoding,Hebei 071003,China
of Electric and Information Engineering,Hebei University,Baoding,Hebei 071002,China
GAO Fang,HAN Pu,ZHAI colony algorithm with mutation operation for continuous function optimization.
Computer Engineering and Applications,2011,47(4):5-8.
Abstract:The mathematical model of basic ant colony algorithm is on a new allocation of cities,the pher-
omone updating rules are local pheromone updating rule and the adaptive global pheromone updating rule are
combined so that the convergence rate is order to enhance the global convergence performance of the improved
ant colony algorithm and avoid the precocious result,the mutation is the optimal solution of each iteration
is gained,the mutation operation is applied to the optimal solution so that the population varieties are numeri-
cal simulation results demonstrate that the ant colony algorithm with mutation operation has faster convergence rate and bet-
ter convergence performance for continuous space optimization problems.
Key words:ant colo