An Investigation of Logarithm Decreasing Inertia Weight Particle Swarm Optimization in Global Optimization Problem

Murinto, Murinto and Prahara, Adhi and Iman HU, Erik (2021) An Investigation of Logarithm Decreasing Inertia Weight Particle Swarm Optimization in Global Optimization Problem. [Artikel Dosen]

Text HASIL CEK_Murinto_An Investigation of Logarithm Decreasing Inertia Weight Particle Swarm Optimization in Global Optimization Problem.pdf Download (1MB)

Abstract

ABSTRACT
This research investigates Logarithm Decreasing Inertia Weight
(LogDIW) to improve the performance of Particle Swarm
Optimization (PSO). The general problem of PSO algorithm is
premature convergence when solving complex optimization
problem. Some researchers try to solve the problem by
modifying the PSO or proposing another PSO variants. Some
PSO variants proved to have a better performance than the
original PSO. The purpose of this research is to obtain some
experimental facts to prove the efficiency of LogDIWPSO if the
parameters are tuned correctly and to show that the
LogDIWPSO performs better compared to the other PSO
variants. In the early step of the experiment, a percentage value
of search space boundary is obtained. This step is important to
compute the velocity threshold of LogDIW based on the
optimization problem. The next experiment is done to measure
the performance of LogDIWPSO using six benchmark functions
in optimization problems and to prove the superiority of
LogDIWPSO compared to the other PSO variants. The
experiment result shows that LogDIW achieves better
performance than the other PSO variants.

Item Type:	Artikel Dosen
Keyword:	inertia weight, particle swarm optimization, logarithm decreasing inertia weight
Subjects:	Q Science > Q Science (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika)
Depositing User:	murinto murinto
Date Deposited:	18 Apr 2023 09:48
Last Modified:	23 Sep 2023 06:22
URI:	http://eprints.uad.ac.id/id/eprint/43002

Actions (login required)

View Item