Optimización por colonia de hormigas: aplicaciones y tendencias

Carlos Arturo Robles Algarín

Ant Colony Optimization : Applications And Trends

Reflexión académica sobre temáticas relacionadas con la Ingeniería

Carlos Arturo Robles Algarín Ver Biografía

Universidad Cooperativa de Colombia

Ants communicate through their pheromones; this is a substance that enables them to find the shortest path between their nest and food source. This feature has been used to solve optimization problems that need to improve computation times substantially to solve a specific application. The ant colony optimization ( aco) is a meta-heuristic method based on the real behavior of ants. It consists of algorithms used to obtain solutions to complex problems in a reasonable amount of computing time. The article presents a detailed description of the theory of ant colony optimization, afterwards, it performs a review of the algorithms used in the aco and finally it shows various applications currently used to demonstrate the benefits of aco in optimization algorithms. Likewise, it describes new theoretical developments and current trends in this research field.

Keywords: colony, ants, optimization

Alonso, S. et ál. (2004), La metaheurística de optimización basada en colonias de hormigas: modelos y nuevos

enfoques, Granada, Departamento de Ciencias de la Computacion e Inteligencia Artificial, e.t.s. Universidad

de Granada.

Barcos, L., Rodríguez, V. y Álvarez, M. J. (2004), Algoritmo basado en la optimización mediante colonias de hormigas para la resolución del problema del transporte de carga desde varios orígenes a varios destinos, Departamento de Organizacion Industrial Tecnun, Universidad de Navarra, Espana, V Congreso de Ingenieria del Transporte.

Bianchi, L. Gambardella, L. M. y Dorigo M, (2002), “An Ant Colony Optimization Approach to the Probabilistic Traveling Salesman Problem” [conferencia], ppsn-VII, Seventh International Conference on Parallel Problem Solving from Nature, Springer Verlag, Berlin.

Colorni, A., Dorigo, M. y Maniezzo, V. (1991), “Distributed Optimization by Ant Colonies, Proceedings of ecal’91” [conferencia], European Conference on Artificial Life, Elsevier Publishing, Amsterdam.

Colorni, A., Dorigo, M. y Maniezzo, V. (1992), “An investigation of some properties of an ‘ant algorithm’”

[conferencia], Memories Parallel Problem Solving from Nature Conference, Elsevier Publishing, Brucelas,

Belgica.

Dorigo, M. Gambardella, L. M. (1996), Ant Colony System: A Cooperative Learning Approach to the Traveling

Salesman Problem, Bruselas, Universite Libre de Bruxelles.

Dorigo, M., Maniezzo, V. y Colorni, A. (1996), “The Ant System: Optimization by a Colony of Cooperating

Agents”, ieee Transactions on Systems, Man, and Cybernetics, vol. 26, num. 1, pp. 1-13.

Dorigo, M. y Blum, C. (2005), “Ant Colony Optimization Theory: A Survey”, en Lecture Notes in Computer

Science, vol. 344, pp. 243-278.

Dorigo, M. (2004), “Ant colony optimization web page” [en línea], disponible en: http://iridia.ulb.

ac.be/~mdorigo/aco/aco.html, recuperado: 10 de marzo del 2010.

Maniezzo, V., Gambardella, L. M. y De Luigi, F. (2004), Ant Colony Optimization, Springer-Verlag, Berlin

Heidelberg, pp. 101-117.

Mendoza García, B. (2001), Uso del sistema de la colonia de hormigas para optimizar circuitos lógicos combinatorios [tesis de maestría], Veracruz, Universidad Veracruzana, Maestría en Inteligencia Artificial.

Muñoz, M., López, J. y Caicedo, E. (2007), Control inteligente usando optimización por colonia de hormigas,

Cali, Universidad del Valle.

Ponce, J., Padilla, F. y Ochoa, C. (2006), Algoritmo de optimización con colonia de hormigas para el problema

de la mochila, Mexico, Universidad Autonoma de Aguascalientes.

Reinelt, G. (1994), The traveling salesman: computational solutions for TSP applications, Berlin, Springer-Verlag.

[1]

C. A. Robles Algarín, “Ant Colony Optimization: Applications And Trends”, ing. Solidar, vol. 6, no. 10-11, pp. 83–89, Jan. 2011, Accessed: Nov. 05, 2024. [Online]. Available: https://revistas.ucc.edu.co/index.php/in/article/view/454

Download Citation

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Cession of rights and ethical commitment

As the author of the article, I declare that is an original unpublished work exclusively created by me, that it has not been submitted for simultaneous evaluation by another publication and that there is no impediment of any kind for concession of the rights provided for in this contract.

In this sense, I am committed to await the result of the evaluation by the journal Ingeniería Solidaría before considering its submission to another medium; in case the response by that publication is positive, additionally, I am committed to respond for any action involving claims, plagiarism or any other kind of claim that could be made by third parties.

At the same time, as the author or co-author, I declare that I am completely in agreement with the conditions presented in this work and that I cede all patrimonial rights, in other words, regarding reproduction, public communication, distribution, dissemination, transformation, making it available and all forms of exploitation of the work using any medium or procedure, during the term of the legal protection of the work and in every country in the world, to the Universidad Cooperativa de Colombia Press.

Issue

Vol. 6 No. 10-11 (2010)

Published

2011-01-20

Downloads

PDF (Spanish)

How to Cite

[1]

Download Citation

Metrics

Metrics Loading ...