Study of a New Global Optimization Algorithm Based on the Standard PSO
Study of a New Global Optimization Algorithm Based on the Standard PSO
复制标题
一种基于标准粒子群算法的全局优化新算法研究
DOI：
10.1007/s10957-012-0256-6
复制
发表时间：
2013-09-01
影响因子：
1.9
通讯作者：
Cheng, L.
中科院分区：
文献类型：
--
作者：
Yang, B.;Cheng, L.
In this paper, a new global optimization algorithm is developed, which is named Particle Swarm Optimization combined with Particle Generator (PSO-PG). Based on a series of comparable numerical experiments, we show that the calculation accuracy of the new algorithm is greatly improved and optimization efficiency is increased as well, in comparison with those of the standard PSO. It is also found that the optimization results obtained from PSO-PG are almost independent of the coefficients adopted in the algorithm.
