Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/66753
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Type: Conference paper
Title: Speeding up evolutionary algorithms through restricted mutation operators
Author: Doerr, B.
Hebbinghaus, N.
Neumann, F.
Citation: Parallel Problem Solving from Nature - PPSN IX: 9th International Conference, Reykjavik, Iceland, September 9-13, 2006 : Proceedings / T. P. Runarsson, H.-G. Beyer, E. Burke, J. J. Merelo-Guervós, L. D. Whitley, X. Yao (eds.), pp.978-987
Publisher: Springer-Verlag Berlin
Publisher Place: Heidelberger Platz 3 Berlin Germany D-14197
Issue Date: 2006
Series/Report no.: Lecture Notes in Computer Science
ISBN: 3540389903
9783540389903
ISSN: 0302-9743
1611-3349
Conference Name: International Conference on Parallel Problem Solving from Nature (9th : 2006 : Reykjavik, Iceland)
Editor: Runarsson, T.P.
Beyer, H.G.
Burke, E.
MereloGuervos, J.J.
Whitley, L.D.
Yao, X.
Statement of
Responsibility: 
Benjamin Doerr, Nils Hebbinghaus, and Frank Neumann
Abstract: We investigate the effect of restricting the mutation operator in evolutionary algorithms with respect to the runtime behavior. For the Eulerian cycle problem; we present runtime bounds on evolutionary algorithms with a restricted operator that are much smaller than the best upper bounds for the general case. It turns out that a plateau that both algorithms have to cope with is left faster by the new algorithm. In addition, we present a lower bound for the unrestricted algorithm which shows that the restricted operator speeds up computation by at least a linear factor.
Description: Also published as a journal article: Lecture Notes in Computer Science, 2006; 4193:978-987
Rights: © Springer-Verlag Berlin Heidelberg 2006
DOI: 10.1007/11844297_99
Published version: http://dx.doi.org/10.1007/11844297_99
Appears in Collections:Aurora harvest
Computer Science publications

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