Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (36): 44-46.

• 研究、探讨 • Previous Articles     Next Articles

Improved FSOA by using random detecting

HE Deniu,WANG Yong,GUAN Yijun   

  1. College of Mathematics and Computer Science,Guangxi University for Nationalities,Nanning 530006,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-12-21 Published:2011-12-21


何德牛,王 勇,管忆军   

  1. 广西民族大学 数学与计算机科学学院,南宁 530006

Abstract: 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.

Key words: improved Optimization Algorithm on using Fishing Strategy(FSOA), random detecting, optimization

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。

关键词: 改进的捕鱼策略优化方法(FSOA), 随机探测, 优化