Evolved preambles for MAX-SAT heuristics

Details Evolved preambles for MAX-SAT heuristics Evolved preambles for MAX-SAT heuristics

2011-02-18

arxiv.org/abs/1102.3868v1

Proceedings of the International Conference on Evolutionary Computation Theory and Applications, 23-31, 2011

Computer Science

Artificial Intelligence

Scientific paper

10.5220/0003660400230031

MAX-SAT heuristics normally operate from random initial truth assignments to the variables. We consider the use of what we call preambles, which are sequences of variables with corresponding single-variable assignment actions intended to be used to determine a more suitable initial truth assignment for a given problem instance and a given heuristic. For a number of well established MAX-SAT heuristics and benchmark instances, we demonstrate that preambles can be evolved by a genetic algorithm such that the heuristics are outperformed in a significant fraction of the cases.

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