Combinatorial landscape analysis for k-SAT instances

A. Albrecht, P.C.R. Lane, K. Steinhofel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)
79 Downloads (Pure)

Abstract

Over the past ten years, methods from statistical
physics have provided a deeper inside into the average
complexity of hard combinatorial problems, culminating in
a rigorous proof for the asymptotic behaviour of the k-SAT
phase transition threshold by Achlioptas and Peres in 2004.
On the other hand, when dealing with individual instances of
hard problems, gathering information about specific properties
of instances in a pre-processing phase might be helpful for
an appropriate adjustment of local search-based procedures.
In the present paper, we address both issues in the context
of landscapes induced by k-SAT instances: Firstly, we utilize
a sampling method devised by Garnier and Kallel in 2002
for approximations of the number of local maxima in landscapes
generated by individual k-SAT instances and a simple
neighbourhood relation. The objective function is given by the
number of satisfied clauses. Secondly, we outline a method
for obtaining upper bounds for the average number of local
maxima in k-SAT instances which indicates some kind of phase
transition for the neighbourhood-specific ratio m/n = Θ(2k/k).
Original languageEnglish
Title of host publicationIEEE Congress on Evolutionary Computation 2008
Subtitle of host publicationCEC 2008
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2498-2504
Volume2008
ISBN (Print)978-1-4244-1822-0
DOIs
Publication statusPublished - 2008
EventIEEE Congress on Evolutionary Computation 2008 - Hong Kong, Hong Kong
Duration: 1 Jun 20086 Jun 2008

Conference

ConferenceIEEE Congress on Evolutionary Computation 2008
Country/TerritoryHong Kong
CityHong Kong
Period1/06/086/06/08

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