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

页码：875 / 883

页数：9

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