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Use of GVRP as a Model of Two Specific Real World Problems and Its Bioinspired Solution
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Author(s): Jorge Rodas (Universidad Autónoma de Ciudad Juárez, Mexico), Daniel Azpeitia (Universidad Autónoma de Ciudad Juárez, Mexico), Alberto Ochoa-Zezzatti (Universidad Autónoma de Ciudad Juárez, Mexico), Raymundo Camarena (Universidad Autónoma de Ciudad Juárez, Mexico)and Tania Olivier (Universidad Autónoma de Ciudad Juárez, Mexico)
Copyright: 2016
Pages: 19
Source title:
Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations
Source Author(s)/Editor(s): Alberto Ochoa-Zezzatti (Juarez City University, Mexico), Jöns Sánchez (Consejo Nacional De Ciencie Y Tecnologia (CONACYT), Mexico), Miguel Gastón Cedillo-Campos (Transportation Systems and Logistics National Laboratory, Mexican Institute of Transportation, Mexico)and Margain de Lourdes (Polytechnic University of Aguascalientes, Mexico)
DOI: 10.4018/978-1-4666-9779-9.ch024
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Abstract
The aim of this chapter is about the inclusion of real world scenarios, viewed as a Generalized Vehicle Routing Problem (GVRP) model problem, and treated by bio inspired algorithms in order to find optimum routing of product delivery. GVRP is the generalization of the classical Vehicle Routing Problem (VRP) that is well known NP-hard as generalized combinatorial optimization problem with a number of real world applications and a variety of different versions. Due to its complexity, large instances of VRP are hard to solve using exact methods. Thus a solution by a soft computing technique is desired. From a methodological standpoint, the chapter includes four bio inspired algorithms, ant colony optimization and firefly. From an application standpoint, several factors of the generalized vehicle routing are considered from a real world scenario.
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