Toward Step-Size Adaptation in Evolutionary Multiobjective Optimization-Reference-Cited by-同舟云学术

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Toward Step-Size Adaptation in Evolutionary Multiobjective Optimization

Published:2017 Issue: Volume: Page:670-684
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Wessing Simon,Pink Rosa,Brandenbusch Kai,Rudolph Günter

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-54157-0_45

Reference28 articles.

1. Auger, A., Brockhoff, D., Hansen, N., Tušar, D., Tušar, T., Wagner, T.: The impact of variation operators on the performance of SMS-EMOA on the bi-objective BBOB-2016 test suite. In: Companion Publication of the 2016 Conference on Genetic and Evolutionary Computation, pp. 1225–1232. ACM (2016)

2. Lecture Notes in Computer Science;N Beume,2010

3. Beume, N., Laumanns, M., Rudolph, G.: Convergence rates of SMS-EMOA on continuous bi-objective problem classes. In: Proceedings of the 11th Workshop on Foundations of Genetic Algorithms, FOGA 2011, pp. 243–252. ACM (2011)

4. Beume, N., Naujoks, B., Emmerich, M.: SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur. J. Oper. Res. 181(3), 1653–1669 (2007)

5. Beyer, H.G., Deb, K.: On self-adaptive features in real-parameter evolutionary algorithms. IEEE Trans. Evol. Comput. 5(3), 250–270 (2001)

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