Generalized Net Model of Coyote Optimization Algorithm
Olympia Nikolaeva Roeva, Dafina Zoteva, Peter Vassilev · International Journal Bioautomation · 2022
In the presented paper, the functioning of the coyote optimization algorithm (COA) is described using the apparatus of generalized nets (GNs). The COA is a population-based metaheuristic for optimization inspired by the Canis latrans species. Based on a Universal GN-model of population-based metaheuristics, а GN-model of COA is constructed by setting different characteristic functions of the GN-tokens. The presented GN-model successfully describes the considered metaheuristic algorithm, conducting basic steps and performing an optimal search.