Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)

RGSA: A New Improved Gravitational Search Algorithm

Authors
Ruopeng Wang, Fang Su, Tongan Hao, Jilong Li
Corresponding Author
Ruopeng Wang
Available Online July 2018.
DOI
https://doi.org/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/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
Series
Advances in Intelligent Systems Research
Publication Date
July 2018
ISBN
978-94-6252-566-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-18.2018.43How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/msam-18.2018.43
ID  - Wang2018/07
ER  -