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Roosters Algorithm: A Novel Nature-Inspired Optimization Algorithm

Mashar Gencal1,*, Mustafa Oral2

1 Ardahan University, Ardahan, 75003, Turkey
2 Cukurova University, Adana, 01330, Turkey

* Corresponding Author: Mashar Gencal. Email: email

(This article belongs to the Special Issue: Modelling, Simulation and Optimization of Complex Systems Using Computational Intelligence)

Computer Systems Science and Engineering 2022, 42(2), 727-737. https://doi.org/10.32604/csse.2022.023018

Abstract

Some species of females, e.g., chicken, bird, fish etc., might mate with more than one males. In the mating of these polygamous creatures, there is competition between males as well as among their offspring. Thus, male reproductive success depends on both male competition and sperm rivalry. Inspired by this type of sexual life of roosters with chickens, a novel nature-inspired optimization algorithm called Roosters Algorithm (RA) is proposed. The algorithm was modelled and implemented based on the sexual behavior of roosters. 13 well-known benchmark optimization functions and 10 IEEE CEC 2018 test functions are utilized to compare the performance of RA with the performance of well-known algorithms; Standard Genetic Algorithm (SGA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Cuckoo Search (CS) and Grey Wolf Optimizer (GWO). Also, non-parametric statistical tests, Friedman and Wilcoxon Signed Rank Tests, were performed to demonstrate the significance of the results. In 20 of the 23 functions that were tested, RA either offered the best results or offered similar results to other compared algorithms. Thus, in this paper, we not only present a novel nature-inspired algorithm, but also offer an alternative method to the well-known algorithms commonly used in the literature, at least as effective as them.

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Cite This Article

APA Style
Gencal, M., Oral, M. (2022). Roosters algorithm: A novel nature-inspired optimization algorithm. Computer Systems Science and Engineering, 42(2), 727-737. https://doi.org/10.32604/csse.2022.023018
Vancouver Style
Gencal M, Oral M. Roosters algorithm: A novel nature-inspired optimization algorithm. Comput Syst Sci Eng. 2022;42(2):727-737 https://doi.org/10.32604/csse.2022.023018
IEEE Style
M. Gencal and M. Oral, “Roosters Algorithm: A Novel Nature-Inspired Optimization Algorithm,” Comput. Syst. Sci. Eng., vol. 42, no. 2, pp. 727-737, 2022. https://doi.org/10.32604/csse.2022.023018



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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