FP-AK-QIEA-R for multi-objective optimization-Reference-Cited by-同舟云学术

FP-AK-QIEA-R for multi-objective optimization

Published:2016 Issue: Volume: Page:
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Container-title:Proceedings of the 3rd International Conference on Biomedical and Bioinformatics Engineering - ICBBE '16
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Author:

Saire Josimar Edinson Chire¹

Affiliation:

1. Universidad Católica San Pablo, Arequipa,Peru

Funder

CONCYTEC (Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica)

Publisher

ACM Press

Reference9 articles.

1. K.-H. Han and J.-H. Kim. Genetic quantum algorithm and its application to combinatorial optimization problem. In Evolutionary Computation, 2000. Proceedings of the 2000 Congress on, volume 2, pages 1354--1360 vol.2, 2000.

2. da Cruz, M. Vellasco, and M. Pacheco.Quantum-inspired evolutionary algorithms applied to numerical optimization problems. In Evolutionary Computation (CEC), 2010 IEEE Congress on, pages 1--6, July 2010.

3. J. Chire Saire and Y. Tupac Valdivia. Parameters analysis of qiea-r in convergence quality. In Andescon, 2016 IEEE, pages 1--4, 2016.

4. J. Chire and Y. Tupac. An approach to real-coded quantum inspired evolutionary algorithm using particles filter. In 2015 Latin America Congress on Computational Intelligence (LA-CCI), pages 1--6, Oct 2015.

5. P. D. Moral. Nonlinear filtering: Interacting particle resolution. Comptes Rendus de l'Academie des Sciences - Series I - Mathematics, 325(6):653 -- 658, 1997.

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