Swarm optimisation algorithms applied to large balanced communication networks-Reference-Cited by-同舟云学术

Swarm optimisation algorithms applied to large balanced communication networks

Published:2013-01 Issue:1 Volume:36 Page:504-522
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Bernardino Eugénia Moreira,Bernardino Anabela Moreira,Sánchez-Pérez Juan Manuel,Gómez Pulido Juan Antonio,Vega Rodríguez Miguel A.

Publisher

Elsevier BV

Subject

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

Reference68 articles.

1. Abuali, F, Schoenefeld, D, Wainwright, R. Terminal assignment in a communications network using genetic algorithms, in: 22nd Annual ACM Computer Science Conference, ACM, New York; 1994, pp. 74–81.

2. Ant Colony Optimization Website, 〈http://iridia.ulb.ac.be/dorigo/ACO/ACO.html〉

3. Artificial Bee Colony Algorithm Website, 〈http://mf.erciyes.edu.tr/abc/〉

4. Reliability optimization of communication networks using simulated annealing;Atiqullah;Microelectronics and Reliability,1993

5. Baluja, S. Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning, Technical report CMU-CS-95-163. Pittsburgh, PA, USA: School of Computer Science, Carnegie Mellon University; 1994.

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