Particle Swarm Optimization for Complex Nonlinear Optimization Problems

被引:4
作者
Alexandridis, Alex [1 ]
Famelis, Ioannis Th. [1 ]
Tsitouras, Charalambos [2 ]
机构
[1] Technol Educ Inst Athens, Dept Elect Engn, GR-12210 Aigaleo, Greece
[2] Technol Educ Inst Sterea Hellas, Dept Automat Engn, Psahna Campus, GR-34400 Lamia, Greece
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015) | 2016年 / 1738卷
关键词
Computational Intelligence; Evolutionary Computation; Particle Swarm Optimization; Runge-Kutta; NEURAL-NETWORKS;
D O I
10.1063/1.4952356
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This work presents the application of a technique belonging to evolutionary computation, namely particle swarm optimization (PSO), to complex nonlinear optimization problems. To be more specific, a PSO optimizer is setup and applied to the derivation of Runge-Kutta pairs for the numerical solution of initial value problems. The effect of critical PSO operational parameters on the performance of the proposed scheme is thoroughly investigated.
引用
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页数:4
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