Yaning Xiao, Xue Sun*, Yanling Guo, Sanping Li, Yapeng Zhang, Yangwei Wang
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 815-850, 2022, DOI:10.32604/cmes.2022.019198
Abstract Gorilla troops optimizer (GTO) is a newly developed meta-heuristic algorithm, which is inspired by the collective
lifestyle and social intelligence of gorillas. Similar to other metaheuristics, the convergence accuracy and stability of
GTO will deteriorate when the optimization problems to be solved become more complex and flexible. To overcome
these defects and achieve better performance, this paper proposes an improved gorilla troops optimizer (IGTO).
First, Circle chaotic mapping is introduced to initialize the positions of gorillas, which facilitates the population
diversity and establishes a good foundation for global search. Then, in order to avoid getting trapped in the local
optimum,… More >
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