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