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Logistics for the Garbage Collection through the use of Ant Colony Algorithms

Logistics for the Garbage Collection through the use of Ant Colony Algorithms

Julio Cesar Ponce Gallegos, Fatima Sayuri Quezada Aguilera, José Alberto Hernandez Aguilar, Christian José Correa Villalón
Copyright: © 2012 |Pages: 19
ISBN13: 9781466602977|ISBN10: 146660297X|EISBN13: 9781466602984
DOI: 10.4018/978-1-4666-0297-7.ch002
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MLA

Gallegos, Julio Cesar Ponce, et al. "Logistics for the Garbage Collection through the use of Ant Colony Algorithms." Logistics Management and Optimization through Hybrid Artificial Intelligence Systems, edited by Carlos Alberto Ochoa Ortiz Zezzatti, et al., IGI Global, 2012, pp. 33-51. https://doi.org/10.4018/978-1-4666-0297-7.ch002

APA

Gallegos, J. C., Aguilera, F. S., Aguilar, J. A., & Villalón, C. J. (2012). Logistics for the Garbage Collection through the use of Ant Colony Algorithms. In C. Ortiz Zezzatti, C. Chira, A. Hernandez, & M. Basurto (Eds.), Logistics Management and Optimization through Hybrid Artificial Intelligence Systems (pp. 33-51). IGI Global. https://doi.org/10.4018/978-1-4666-0297-7.ch002

Chicago

Gallegos, Julio Cesar Ponce, et al. "Logistics for the Garbage Collection through the use of Ant Colony Algorithms." In Logistics Management and Optimization through Hybrid Artificial Intelligence Systems, edited by Carlos Alberto Ochoa Ortiz Zezzatti, et al., 33-51. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0297-7.ch002

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Abstract

The contribution of this chapter is to present an approach to explain the Ant Colony System applied on the Waste Collection Problem, because waste management is moving up to the concern over health and environmental impacts. These algorithms are a framework for decision makers in order to analyze and simulate various spatial waste management problems. In the last decade, metaheuristics have become increasingly popular for effectively confronting difficult combinatorial optimization problems. In the present work, an individual metaheuristic Ant Colony System (ACS) algorithm is introduced, implemented and discussed for the identification of optimal routes in the case Solid Waste collection. This algorithm is applied to a waste collection and transport system, obtaining recollection routes with the less total distance with respect to the actual route utilized and to the solution obtained by a previously developed approach.

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