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2008
Springer

Engineering Stochastic Local Search for the Low Autocorrelation Binary Sequence Problem

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Engineering Stochastic Local Search for the Low Autocorrelation Binary Sequence Problem
Abstract. This paper engineers a new state-of-the-art Stochastic Local Search (SLS) for the Low Autocorrelation Binary Sequence (LABS) problem. The new SLS solver is obtained with white-box visualization to get insights on how an SLS can be effective for LABS; implementation improvements; and black-box parameter tuning.
Steven Halim, Roland H. C. Yap, Felix Halim
Added 18 Oct 2010
Updated 18 Oct 2010
Type Conference
Year 2008
Where CP
Authors Steven Halim, Roland H. C. Yap, Felix Halim
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