Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/66756
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Type: Conference paper
Title: Comparing Variants of MMAS ACO Algorithms on Pseudo-Boolean Functions
Author: Neumann, F.
Sudholt, D.
Witt, C.
Citation: Engineering Stochastic Local Search Algorithms: Designing, Implementing and Analyzing Effective Heuristics: International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007: Proceedings / T. Stützle, M. Birattari, H. H. Hoos (eds.), pp. 61-75
Publisher: Springer
Publisher Place: Berlin
Issue Date: 2007
Series/Report no.: Lecture Notes in Computer Science
ISBN: 9783540744450
ISSN: 0302-9743
1611-3349
Conference Name: International Workshop on Engineering Stochastic Local Search Algorithms (2007 : Brussels, Belgium)
Editor: Stutzle, T.
Birattari, M.
Hoos, H.H.
Statement of
Responsibility: 
Frank Neumann, Dirk Sudholt, and Carsten Witt
Abstract: Recently, the first rigorous runtime analyses of ACO algorithms have been presented. These results concentrate on variants of the MAX-MIN ant system by Stutzle and Hoos and consider their runtime on simple pseudo-Boolean functions such as OneMax and LeadingOnes. Interestingly, it turns out that a variant called 1-ANT is very sensitive to the choice of the evaporation factor while a recent technical report by Gutjahr and Sebastiani suggests partly opposite results for their variant called MMAS. In this paper, we elaborate on the differences between the two ACO algorithms, generalize the techniques by Gutjahr and Sebastiani and show improved results.
Description: Also published as a journal article: Lecture Notes in Computer Science, 2007; 4638:61-75
Rights: © Springer-Verlag Berlin Heidelberg 2007
DOI: 10.1007/978-3-540-74446-7
Appears in Collections:Aurora harvest
Computer Science publications

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