混沌w的简化粒子群算法在机械设计中的应用

Modified Simple Particle Swarm Optimization Using Chaotic Inertia Weight and It Application in Machine Design

利用混沌序列的内在随机性、遍历性和规则性,提出了一种混沌惯性权重的简化粒子群优化算法。将该算法应用于机械设计,结果表明新算法具有更快的收敛速度和更强的全局寻优能力。

A chaotic inertia weight is used in the updating simple PSO. This method makes use of the ergodicity, randomicity and regularity of chaotic search to improve the convergence velocity and accuracy. The experimental results illustrate that the new algorithm is effective for solving mechanical optimization problems.