Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms-Reference-Cited by-同舟云学术

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Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms

Published:2016 Issue: Volume: Page:890-900
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature – PPSN XIV
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Author:

Dang Duc-Cuong,Friedrich Tobias,Kötzing Timo,Krejca Martin S.,Lehre Per Kristian,Oliveto Pietro S.,Sudholt Dirk,Sutton Andrew M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-45823-6_83

Reference9 articles.

1. Auger, A., Doerr, B.: Theory of Randomized Search Heuristics. World Scientific, Singapore (2011)

2. Badkobeh, G., Lehre, P.K., Sudholt, D.: Black-box complexity of parallel search with distributed populations. In: Proceedings of FOGA 2015, pp. 3–15 (2015)

3. Lecture Notes in Computer Science;D Corus,2014

4. Dang, D.-D., Friedrich, T., Kötzing, T., Krejca, M.S., Lehre, P.K., Oliveto, P.S., Sudholt, D., Sutton, A.M.: Escaping local optima with diversity mechanisms and crossover. In: GECCO 2016 (2016, to appear)

5. Droste, S., Jansen, T., Wegener, I.: On the analysis of the (1+1) evolutionary algorithm. Theoret. Comput. Sci. 276, 51–81 (2002)

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