摘要
针对FSOA中渔夫搜索效率低且易陷入局部极值等不足,提出了一种采用随机探测的改进FSOA算法。该算法采用随机选点与旋转定点相结合的选择探测点方法,并对渔夫的收缩搜索操作做了一定的限制,以进一步提高渔夫的搜索效率。从数值实验仿真结果上看,该改进方法是有效的和可行的。
Aiming at the shortcoming of FSOA,it is easily plunging into the local optimum and has low searching efficiency,an improved FSOA which uses random detecting approach is presented in this paper.In this algorithm,every fisherman determines his fishnet positions by using the approach of combining random selection with rotating selection,and it is restricted for every fisherman taking the strategy of constricting search operation in some way in order to improve the fisherman’s searching efficiency.It shows from the numerical experiment results that the improved algorithm is feasible and effective.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第36期44-46,共3页
Computer Engineering and Applications
基金
广西自然科学基金(No.0832084)
广西混杂计算与集成电路设计分析重点实验室
关键词
改进的捕鱼策略优化方法(FSOA)
随机探测
优化
improved Optimization Algorithm on using Fishing Strategy(FSOA)
random detecting
optimization