一种新的进化算法——种子优化算法

A Novel Evolutionary Algorithm——Seed Optimization Algorithm

受自然界种子传播方式的启发,提出一种进化算法——种子优化算法.该算法通过模拟植物生存的自适应现象,逐代进化,寻找最优结果,解决复杂的优化计算问题.对该算法的全局寻优性能进行分析证明.通过典型优化问题的实例仿真实验,表明该算法具有较好的寻优性能.

Inspired by the transmission of seeds in nature, an evolutionary algorithm, seed optimization algorithm （SOA）, is proposed. The algorithm is designed by simulating the self-adaptive phenomena of plant and it can be used to resolve complex optimization problems with the evolution of plant. The global convergence analysis of SOA is made by using the Solis and Wets＇ research results. Finally, SOA is applied to three function optimization problems and compared with particle swarm optimization （PSO） algorithm. The experimental results show that SOA has stable and robust behaviour and it can be used as a promising alternative to existing optimization methods for engineering design.