Introduction and benchmark result comparison of socially inspired algorithms

Socio-inspired algorithms are a particular type of metaheuristic that bases its behavior on human society. It is a simple approach to the complex world of evolutionary computing, with multiple simulations with recognizable patterns day by day. The aim of this study is to check whether these algorithms have the functional capacity to solve optimization problems. Through meticulous experimental analysis, the results of these algorithms will be collected for a known benchmark and compared with those of some reference algorithms that allow assessing their potential in this type of problem adequately.