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roosters algorithm:A Novel Nature-Inspired Optimization algorithm

Computer Systems Science & Engineering 2022年第8期42卷 727-737页

作者： Mashar Gencal Mustafa Oral Ardahan University Ardahan75003Turkey Cukurova University Adana01330Turkey

Some species of females,e.g.,chicken,bird,fish etc.,might mate with more than one *** the mating of these polygamous creatures,there is competition between males as well as among their ***,male reproductive success depends on both male competition and sperm *** by this type of sexual life of roosters with chickens,a novel nature-inspired optimization algorithm called roosters algorithm(RA)is *** 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 *** 20 of the 23 functions that were tested,RA either offered the best results or offered similar results to other compared ***,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.

关键词： Evolutionary computation meta-heuristics optimization roosters algorithm

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