AFSA与改进FSOA相结合的优化方法

摘要

提出一种采用AFSA和改进FSOA相融合的混合优化方法.该优化方法在寻优过程中交替使用AFSA和改进FSOA优化方法,使用AFSA来搜索局部最优域,使用改进FSOA优化方法来加快算法收敛速度和提高优化精度.实验仿真结果表明,该优化算法具有收敛速度快、优化精度高、全局寻优能力强、算法稳定性好等特点,对于求解高维复杂函数的优化问题是有效的和可行的.%A hybrid optimazation approach which is combined the Artificial Fish School Algorithm(AFSA) with the improving Optimization Approach on using Fishing Strategy (FSOA) is presented in this paper.The main idea of this hybrid optimization method is that AFSA and improving FSOA are used alternating in the sequence of operations for searching the global optimal solution, that AFSA is used to find the local optimal domain and improving FSOA is made use of improving the accurate numerical solution and accelerating the convergence rate.lt shows from the optimization experimental results that the optimization approach has the performances of rapid convergence rate,high accurate numerical solution,robust in solving global optimal solution, and good stability.So the optimization algorithm is effective and feasible in solving high dimension and complex function' optimization problems.