KGMO: A swarm optimization algorithm based on the kinetic energy of gas molecules

Swarm-based algorithms have acquired an important role in solving real-world optimization problems. In this paper, Kinetic Gas Molecule Optimization (KGMO), an optimization algorithm that is based on the kinetic energy of gas molecules, is introduced. The agents are gas molecules that are moving in...

Full description

Saved in:

Bibliographic Details
Published in:	Information sciences Vol. 275; pp. 127 - 144
Main Authors:	Moein, Sara, Logeswaran, Rajasvaran
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 10.08.2014
Subjects:	Algorithms Benchmarking Computer simulation Gravitational Search Algorithm (GSA) Kinetic energy Kinetic Gas Molecule Optimization (KGMO) Mathematical models Mean square values Optimal convergence Optimization Particle Swarm Optimization (PSO) Swarm intelligence Kinetic Gas Molecule Optimization (KGMO) Optimal convergence Kinetic energy Gravitational Search Algorithm (GSA) Particle Swarm Optimization (PSO)
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!