Enfoque Multiobjetivo de una Metaheurística Híbrida Para la Optimización de Rotaciones de Transporte Terrestre de Pasajeros como Base de un Sistema de Soporte de Decisiones Empresarial


Enfoque Multiobjetivo de una Metaheurística Híbrida Para la Optimización de Rotaciones de Transporte Terrestre de Pasajeros como Base de un Sistema de Soporte de Decisiones Empresarial
Published in:	Engineering for a Smarter Planet: Innovation, ITC, and Computational Tools for Sustainable Development: Proceedings of the 9th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference:	August 3-5, 2011
Location of Conference:	Medellin, Colombia
Authors:	Julián López Franco
Refereed Paper:	#311

Abstract
There are optimization problems which mathematical programming methods cannot guarantee an application of optimal solutions. In these, metaheuristics are an alternative. Hybrid Genetic Algorithms are the most popular due to its simplicity and effectiveness. These methods have been applied to multiobjective optimization problems which present functions that are in conflict between them, obtaining good solutions. This paper presents a multiobjective approach of a Hybrid Genetic Algorithm for the definition and optimization of routing plans using pre-defined lines and routes, and illustrate a real-world case applied to a passenger public transport company in Colombia.