Abstract
The purpose of this paper is to study the applications of the metaheuristic multi-verse optimizer in a variety of problems involving optimization in the distinct areas of computer science, keeping a focus on fuzzy logic. This is a state-of-the-art study, so it is only showing different cases where the multi-verse optimizer has been implemented and showed positive and negative results (mostly positive), so we can conclude that it can be applied to fuzzy control with positive results in further investigations. In this review, we can observe different population-based optimization algorithms in various applications, and many of them come from other colleagues that apply these algorithms for different problems, so we can compare with the applications of MVO over his short time along other algorithms. The paper shows multiple applications of many known metaheuristics such as PSO, GWO, HSA; and has nine applications of the MVO in different works.
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Amézquita, L., Castillo, O., Soria, J., Cortes-Antonio, P. (2021). A Novel Study of the Multi-verse Optimizer and Its Applications on Multiple Areas of Computer Science. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. Studies in Computational Intelligence, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-58728-4_7
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