Improving the PSO method for global optimization problems

被引：6
|
作者：
Tsoulos, Ioannis G. [1 ]
Tzallas, Alexandros [1 ]
Karvounis, Evaggelos [1 ]
机构：
[1] Univ Ioannina, Dept Informat & Telecommun, Arta 47100, Greece
来源：
EVOLVING SYSTEMS | 2021年 / 12卷 / 04期
关键词：
Particle swarm optimization; Stochastic methods; Termination rules; PARTICLE SWARM OPTIMIZATION; ALGORITHM; MINIMA; GA;
D O I：
10.1007/s12530-020-09330-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper introduces two modifications for the well-known PSO method to solve global optimization problems. The first modification deals with the termination of the method and the second with the bounding of the so-called velocity in order to prevent the method from creating particles outside the domain range of the objective function. The modified method was tested on a series of global optimization problems from the relevant literature and the results are reported.
引用
收藏
页码：875 / 883
页数：9
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