Population-Based Metaheuristic Optimization Using Organized Social Wound Treatment

Abstract

This paper introduces a new strategy by means of the social wound treatment for improving optimization in population-based metaheuristic methods. This strategy is inspired on the behavior observed in social animals when dealing with injuries at both social and individual levels. An implementation of this strategy is done in the so-called wound treatment optimization (WTO) algorithm. A benchmark on several test functions for optimization was conducted to compare the response between the simple particle swarm optimization (PSO) and the WTO. Also, an application of WTO in decentralized system of robots was developed aiming to learn suitable parameters in the navigation controller of robots. This is the first time that social wound treatment is considered in these optimization methods.