Clustering Based Parallel Many-Objective Evolutionary Algorithms Using the Shape of the Objective Vectors-Reference-Cited by-同舟云学术

Clustering Based Parallel Many-Objective Evolutionary Algorithms Using the Shape of the Objective Vectors

Published:2015 Issue: Volume: Page:50-64
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

von Lücken Christian,Brizuela Carlos,Barán Benjamin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-15892-1_4

Reference21 articles.

1. Branke, J., Schmeck, H., Deb, K., Reddy, M.: Parallelizing multi-objective evolutionary algorithms: cone separation. In: 2004 Congress on Evol. Comput., vol. 2, pp. 1952–1957. IEEE, Portland (2004)

2. Cheshmehgaz, H.R., Haron, H., Sharifi, A.: The review of multiple evolutionary searches and multi-objective evolutionary algorithms. Artificial Intelligence Review, 1–33 (2013)

3. Coello Coello, C.A., Lamont, G., Van Veldhuizen, D.: Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd edn. Springer, New York (2007). ISBN: 978-0-387-33254-3

4. Deb, K.: Multi-objective optimization using evolutionary algorithms. Wiley (2001)

5. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. on Evol. Comput. (2002)

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