An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers-Reference-Cited by-同舟云学术

An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers

Published:2017-07-14 Issue:2 Volume:48 Page:416-431
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Feitosa Neto Antonino A.,Canuto Anne M. P.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-0982-4/fulltext.html

Reference39 articles.

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2. Wolpert DH, Macready WG (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1-1:67–82

3. Kuncheva LI (2004) Combining pattern classifiers: Methods and Algorithms. Wiley

4. Kuncheva LI, Whitaker CJ (2003) Measures of diversity in classifier ensembles. Mach Learn 51:181–207

5. Feitosa Neto A, Canuto A, Goldbarg E, Goldbarg M (2011) Optimization Techniques for the Selection of Members and Attributes in Ensemble System. IEEE Proceedings of Congress on Evolutionary Computation (CEC)

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