【摘要】 通过研究细胞膜的特性及其物质转运方式,从中进行提取优化模型,并结合全局优化算法的基本思想,提出了一种新型的全局优化算法——细胞膜优化算法(CMO)。通过数值实验,验证了细胞膜优化算法具有很好的全局寻优能力、快速的收敛能力和获取高精度解的能力,并与标准粒子群算法(PSO)和人口迁移算法(PMA)进行比较,结果表明,细胞膜优化算法在解决高维优化问题时具有更好的收敛性能。更多还原

【Abstract】 By studying the characteristics of cell membrane and the mode of material transfer,proposed a new global optimization algorithm: cell membrane optimization(CMO),combined with global optimization algorithm.Numerical experiments proved CMO had excellent global optimization capability,rapid convergence and the ability to obtain accurate solution.Compared with the standard particle swarm optimization(PSO) and population migration algorithm(PMA).The simulation results show that CMO has better convergence performance in solving high-dimensional optimization problems.更多还原