Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms

The performance of optimization algorithms, including those based on swarm intelligence, depends on the values assigned to their parameters. To obtain high performance, these parameters must be fine-tuned. Since many parameters can take real values or integer values from a large domain, it is often...

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Veröffentlicht in:	Swarm intelligence Jg. 6; H. 1; S. 49 - 75
Hauptverfasser:	Yuan, Zhi, Montes de Oca, Marco A., Birattari, Mauro, Stützle, Thomas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.03.2012
Schlagworte:	Artificial Intelligence Communications Engineering Computer Communication Networks Computer Science Computer Systems Organization and Communication Networks Mathematical and Computational Engineering Networks Swarm intelligence F-Race Automated algorithm configuration Parameter tuning Continuous optimization algorithm
ISSN:	1935-3812, 1935-3820
Online-Zugang:	Volltext
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