mk:smc10

Summary

Comparison of Evolutionary Multi-Objective Optimization Algorithms for the Utilization of Fairness in Network Control. Mario Köppen, Rodrigo Verschae, Kaori Yoshida and Masato Tsuru. In Proc. 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010), Istanbul, Turkey, pages 2647 -2655, October 2010.

Abstract

We use design principles of evolutionary multi-objective optimization algorithms to define algorithms capable of approximating maximum sets of relations in general. The specific case of fairness relations is considered here, which play a prominent role in the control of resource sharing in data networks. We study maxmin fairness allocation in networks with linear congestion control. Among various design principles, the concepts behind Strength Pareto Evolutionary Algorithm, and the Multi-Objective Particle Swarm Optimization achieve comparable best performance (with the used parameterization within 10% of the fairness state components for up to 20 objectives).

Bibtex entry

@INPROCEEDINGS { mk:smc10,
    ABSTRACT = { We use design principles of evolutionary multi-objective optimization algorithms to define algorithms capable of approximating maximum sets of relations in general. The specific case of fairness relations is considered here, which play a prominent role in the control of resource sharing in data networks. We study maxmin fairness allocation in networks with linear congestion control. Among various design principles, the concepts behind Strength Pareto Evolutionary Algorithm, and the Multi-Objective Particle Swarm Optimization achieve comparable best performance (with the used parameterization within 10% of the fairness state components for up to 20 objectives). },
    AUTHOR = { Mario Köppen and Rodrigo Verschae and Kaori Yoshida and Masato Tsuru },
    BOOKTITLE = { Proc. 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010), Istanbul, Turkey },
    ADDED = { 2010-09-24 17:26:04 +0900 },
    MODIFIED = { 2011-03-31 15:37:18 +0900 },
    DOI = { 10.1109/ICSMC.2010.5641898 },
    ISSN = { 1062-922X },
    MONTH = { October },
    PAGES = { 2647 -2655 },
    TITLE = { Comparison of Evolutionary Multi-Objective Optimization Algorithms for the Utilization of Fairness in Network Control },
    YEAR = { 2010 },
    1 = { http://dx.doi.org/10.1109/ICSMC.2010.5641898 },
}

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News

Next conferences COMPSAC 2014 (Vasteras, Sweden, July 2014), INCoS-2014 (Salerno, Italy, September 2014).

New edited book "Soft Computing in Industrial Applications", V. Snasel, P. Kroemer, M. Koeppen, G. Schaefer, Springer AISC 223, July 2013.