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Solving ring loading problems using bio-inspired algorithms

Published:2011-03 Issue:2 Volume:34 Page:668-685
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Bernardino Anabela Moreira,Bernardino Eugénia Moreira,Sanchez-Perez Juan Manuel,Gomez-Pulido Juan Antonio,Vega-Rodriguez Miguel Angel

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference53 articles.

1. Ant colony optimization website, 〈http://iridia.ulb.ac.be/dorigo/ACO/ACO.html〉.

2. Artificial bee colony algorithm website, 〈http://mf.erciyes.edu.tr/abc/〉.

3. Bernardino AM, Bernardino EM, Sánchez-Pérez JM, Vega-Rodríguez MA, Gómez-Pulido JA. A discrete differential evolution algorithm for solving the weighted ring arc loading problem. In: Proceedings the 23rd international conference on industrial, engineering and other applications of applied intelligent systems applications of evolutionary computation. Springer Berlin/Heidelberg; 2010a. p. 61–70.

4. Bernardino AM, Bernardino EM, Sánchez-Pérez JM, Vega-Rodríguez MA, Gómez-Pulido JAA. Hybrid ant colony optimization algorithm for solving the ring arc-loading problem. In: artificial intelligence: theories, models and applications, 6th hellenic conference on AI, SETN 2010. Springer Berlin/Heidelberg; 2010b. p. 49–59.

5. Bernardino AM, Bernardino EM, Sánchez-Pérez JM, Vega-Rodríguez MA, Gómez-Pulido JA. Efficient load balancing for a resilient packet ring using artificial bee colony. In: Proceedings of applications of evolutionary computation, EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG. Springer Berlin/Heidelberg; 2010c. p. 61–70.

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