Open AccessGenetic algorithms for optimization and study transport tours
Author(s) -
María Camila Parra Romero,
Jaime Benavides,
Frank Nixon Giraldo Ramos
Publication year - 2018
Publication title -
visión electrónica/visión electrónica
Language(s) - English
Resource type - Journals
eISSN - 2248-4728
pISSN - 1909-9746
DOI - 10.14483/22484728.14625
Subject(s) - genetic algorithm , computer science , destinations , path (computing) , operations research , mathematical optimization , engineering , machine learning , geography , mathematics , tourism , archaeology , programming language
This paper is the result of a research project developed by the DIGITI’s research group at Francisco José de Caldas University, on optimization problems by using artificial intelligence and it shows the implementation of a genetic algorithm (GA) as a tool for planning and optimization transport tours, with the goal of finding the best path destinations for a fleet of vehicles. It presents basic concepts of the theory and the results obtained, about the administration and logistics in the supply chain, through a planning solution that optimizes the use of transportation resources.