Empirical study of segment particle swarm optimization and particle swarm optimization algorithms

被引：0
|
作者：
Azrag, Mohammed Adam Kunna [1 ]
Kadir, Tuty Asmawaty Abdul [1 ]
机构：
[1] Faculty of Computer Science and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia
来源：
International Journal of Advanced Computer Science and Applications | 2019年 / 10卷 / 08期
关键词：
Particle swarm optimization (PSO);
D O I：
10.14569/ijacsa.2019.0100862
中图分类号：
学科分类号：
摘要：
In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test functions. The experimental results showed that, the Se-PSO algorithm achieved better results in terms of faster convergences in all the testing cases compared to the original PSO algorithm. However, the experimental results further showed the Se-PSO as a promising optimization algorithm method in some other different fields. © 2018 The Science and Information (SAI) Organization Limited.
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页码：480 / 485
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