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Complexity of Max-SAT using stochastic algorithms

Complexity of Max-SAT using stochastic algorithms
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other methods to solve the most difficult region of SAT, the phase transition. We show that hill-climbing also finds SAT problems difficult around the phase transition. It too follows an easy-hard-eays transition.
Qasem, Mohamed
e7828af0-2b26-4142-85a6-1e92298af47c
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
Qasem, Mohamed
e7828af0-2b26-4142-85a6-1e92298af47c
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e

Qasem, Mohamed and Prugel-Bennett, Adam (2008) Complexity of Max-SAT using stochastic algorithms. Proceedings of the 10th annual conference on Genetic and evolutionary computation, Georgia.

Record type: Conference or Workshop Item (Poster)

Abstract

Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other methods to solve the most difficult region of SAT, the phase transition. We show that hill-climbing also finds SAT problems difficult around the phase transition. It too follows an easy-hard-eays transition.

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More information

Published date: 2008
Additional Information: Event Dates: 2008
Venue - Dates: Proceedings of the 10th annual conference on Genetic and evolutionary computation, Georgia, 2008-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 268062
URI: http://eprints.soton.ac.uk/id/eprint/268062
PURE UUID: 022de34d-ed9a-4a30-bd91-5dbd86a793d2

Catalogue record

Date deposited: 19 Oct 2009 09:35
Last modified: 19 Jul 2019 22:16

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Contributors

Author: Mohamed Qasem
Author: Adam Prugel-Bennett

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