Complexity of Max-SAT using stochastic algorithms

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


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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.

Item Type: Conference or Workshop Item (Poster)
Additional Information: Event Dates: 2008
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 268062
Accepted Date and Publication Date:
Date Deposited: 19 Oct 2009 09:35
Last Modified: 31 Mar 2016 14:16
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