PSO与捕鱼策略相结合的优化方法

在分析粒子群优化算法（PSO）和采用捕鱼策略的优化方法（FSOA）存在不足的基础上，提出一种将PSO融入捕鱼策略中的优化算法。该算法要求渔夫在打渔活动中采用灵活机动的多点随机抛投鱼网策略。将该优化算法用于解决三个典型的带约束的函数优化问题，优化实验仿真结果表明，该方法具有收敛速度快、优化精度高、稳定性好的特点，具有较好的全局寻优能力。

Optimization approach combined PSO with fishing strategy

An optimization algorithm which combines the Particle Swarm Optimization（PSO） into the Optimization Approach on Fishing Strategy（FSOA） is presented based on analyzing the shortcoming of the PSO and the FSOA.The algorithm demands that every fisher makes use of an agile,mobile and multipoint random casting fishnet strategy in the fishing activity.It shows,from the experimental and simulation results of three typical restrained functions’ optimization,that the optimization approach has the performance of rapid convergence rate,high precision of optimization and good stability.It indicates that the algorithm has better performance in global optimization.