RGSA: A New Improved Gravitational Search Algorithm

DOI

10.2991/msam-18.2018.43How to use a DOI?

Keywords

gravitational search algorithm; exploration; exploitation; revolving operator

Abstract

In this paper, an improved gravitational search algorithm, revolving gravitational search algorithm (RGSA) is proposed. RGSA optimizes the selection of kbest in GSA by importing revolving operator, lets agents not included in kbest have opportunity to influence other agents’ movement. RGSA could further exploit potential districts and strengthen the ability of exploration than GSA. Experiments confirm the high efficiency of RGSA.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Ruopeng Wang
AU  - Fang Su
AU  - Tongan Hao
AU  - Jilong Li
PY  - 2018/07
DA  - 2018/07
TI  - RGSA: A New Improved Gravitational Search Algorithm
BT  - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
PB  - Atlantis Press
SP  - 202
EP  - 207
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-18.2018.43
DO  - 10.2991/msam-18.2018.43
ID  - Wang2018/07
ER  -