A Multi-Role Particle Swarm Algorithm for Numerical Optimization

被引：0
|
作者：
Quan, Haiyan [1 ]
Liu, Zengli [1 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Info & Auto, Kunming 650051, Peoples R China
来源：
MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6 | 2012年 / 490-495卷
关键词：
multi-role particle swarm; the stochastic differential search operator; clonal selection operation; heuristic search; numerical function optimization;
D O I：
10.4028/www.scientific.net/AMR.490-495.1085
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
the paper proposes a stochastic differential search operator (SDSO) which can traverse the numerical object space (eg. R ''), and a Multi-Role particle swarm which can be differentiated into the different roles to search the objective space using the different strategies. Based on the SDSO and the Multi-Role particle swarm, a Multi-Role particle swarm algorithm (MRPSA) for numerical optimization is proposed. In the test experiment, 6 unconstrained benchmark functions are used to demonstrate the performance of MRPSA. The results show that MRPSA can find the optimal or close-to-optimal solutions of those benchmark functions efficiently.
引用
收藏
页码：1085 / 1089
页数：5
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