Systematic search for local-search SAT heuristics

Burnett, Andrew W.; Parkes, Andrew J.

Abstract

Heuristics for local-search are a commonly used method of improving the performance of algorithms that solve hard computational problems. Generally these are written by human experts, however a long-standing research goal has been to automate the construction of these heuristics. In this paper, we investigate the applicability of a systematic search on the space of heuristics to be used in a local-search SAT solver.

Citation

Burnett, A. W., & Parkes, A. J. Systematic search for local-search SAT heuristics. Presented at 6th International Conference on Metaheuristics and Nature Inspired Computing (META 2016)

• Conference Name: 6th International Conference on Metaheuristics and Nature Inspired Computing (META 2016)
• End Date: Oct 31, 2016
• Acceptance Date: Jun 11, 2016
• Publication Date: Oct 29, 2016
• Deposit Date: Jul 21, 2016
• Publicly Available Date: Oct 29, 2016
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/821007
• Related Public URLs: http://meta2016.sciencesconf.org/
• Contract Date: Jul 21, 2016