一种采用随机探测策略的改进FSOA

摘要

Based on the shortcoming of FSOA being analyzed,an improved FSOA is presented.The optimization approach is that every fisher makes use of random detection strategy, and every fisher' searching direction is restricted by his current moving vector.lt is only the fisher in the present optimal point that takes the strategy of constricted search, and the others make use of the strategy of moving search.The optimization experimental results of four typical functions show that the optimization approach is effective and feasible for solving the optimal solution of the complex functions.%在分析FSOA方法存在不足的基础上,提出了改进的FSOA.该优化方法要求渔夫采用随机探测策略,渔夫的搜索方向受其当前前进方向的限制；位于当前最优位置的渔夫采用收缩搜索策略,其余的渔夫采用移动搜索策略.四个典型函数的优化实验结果表明,该方法对于解决复杂函数的优化问题是有效的和可行的.