Bio-Heuristics Inspired by Fauna (Review)
Victor Kureychik, Sergey I. Rodzin · INFORMACIONNYE TEHNOLOGII · 2023
In recent years, there has been a noticeable increase in publications devoted to new metaheuristics for the effective solution of optimization problems for which classical methods do not provide acceptable results with reasonable time and resources. The review focuses on bio-heuristics inspired by fauna, which account for about half of the publications of meta-heuristics in the last ten years, and which model patterns of behavior of individuals of the animal world. The review is organized taking into account the biological classification of fauna and the simulated mechanisms of animal behavior. The analysis of the mechanisms used to ensure a balance between the convergence rate of the algorithm and the diversification of the solution search space is also given.