International Journal of Computational Intelligence Systems

Volume 14, Issue 1, 2021, Pages 1108 - 1118

The Red Colobuses Monkey: A New Nature–Inspired Metaheuristic Optimization Algorithm

Authors
Wijdan Jaber AL-kubaisy1, Mohammed Yousif2, Belal Al-Khateeb1, ORCID, Maha Mahmood1, Dac-Nhuong Le3, 4, *, ORCID
1College of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq
2Directorate of Regions and Governorates Affairs, Ministry of Youth & Sport, Baghdad, Iraq
3Faculty of Information Technology, Duy Tan University, Da Nang, Vietnam
4Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
*Corresponding author. Email: ledacnhuong@duytan.edu.vn
Corresponding Author
Dac-Nhuong Le
Received 13 August 2020, Accepted 4 November 2020, Available Online 17 March 2021.
DOI
10.2991/ijcis.d.210301.004How to use a DOI?
Keywords
Red colobuses monkey; Optimization; Metaheuristic; Particle swarm optimization
Abstract

The presented study suggests a new nature–inspired metaheuristic optimization algorithm referred to as Red Colobuses Monkey (RCM) that can be used for optimization problems; this algorithm mimics the behavior related to red monkeys in nature. In preparation for proving the suggested algorithm's advantages, a set of standard unconstrained and constrained test functions is employed, sixty–four of identified test functions utilized in optimization were applied as benchmarks for checking the RCM performance. The solutions have also been upgrading their positions based on the optimal solution, which was reached thus far. Also, RCM can replace the worst red monkey by the best child found so far to give an extra enhancement to the solutions. Also, comparative performance checks with Biogeography–Based Optimizer (BBO), Artificial–Bee–Colony (ABC), Particle Swarm Optimization (PSO), and Gravitational Search Algorithm (GSA) were done. The acquired results showed that RCM is competitive in comparison to the chosen metaheuristic algorithms.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
1108 - 1118
Publication Date
2021/03/17
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.210301.004How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Wijdan Jaber AL-kubaisy
AU  - Mohammed Yousif
AU  - Belal Al-Khateeb
AU  - Maha Mahmood
AU  - Dac-Nhuong Le
PY  - 2021
DA  - 2021/03/17
TI  - The Red Colobuses Monkey: A New Nature–Inspired Metaheuristic Optimization Algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 1108
EP  - 1118
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210301.004
DO  - 10.2991/ijcis.d.210301.004
ID  - AL-kubaisy2021
ER  -