CRIAÇÃO DO MÓDULO DE GERAÇÃO DE ROTAS OTIMIZADAS PARA O MUSEU VIRTUAL TOTAL DE IPORÁ – GO, UTILIZANDO TÉCNICAS DE INTELIGÊNCIA ARTIFICIAL

Abstract

This work presents the development of a system that generates optimized routes through the use of bioinspired algorithms and artificial intelligence techniques to travel through all the historical locations reported in the Total Virtual Museum of Iporá — GO. By carrying out performance, efficiency and effectiveness tests of algorithms such as Ant Colony Optimization, Bat Algorithm, Bee Colony Optimization, Cuckoo Search, Firefly Algorithm, Genetic Algorithm and Particle Swarm Optimization for generating shortest paths, with a reference database to the historical locations of Iporá, and application of the Haversine Formula to calculate the geodesic distance between the specified locations. It enabled the creation of the module to generate optimized routes, through the use of Ant Colony Optimization in Javascript.