Satisfiability Solvers - ppt download
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Structured vs. Random Problems So far, we’ve been dealing with SAT problems that encode other problems Most not as hard as # of variables & clauses suggests Small crossword grid + medium-sized dictionary may turn into a big formula … but still a small puzzle at some level Unit propagation does a lot of work for you Clause learning picks up on the structure of the encoding But some random SAT problems really are hard! zChaff’s tricks don’t work so well here /425 Declarative Methods - J. Eisner
Sexual reproduction (another popular general technique – at least for evolutionary algorithms) Derive each new assignment by somehow combining two old assignments, not just modifying one ( sexual reproduction or crossover ) Parent 1. Parent Child 1. Child 2. Mutation. Good idea /425 Declarative Methods - J. Eisner. slide thanks to Russ Greiner and Dekang Lin (modified)
Sexual reproduction (another popular general technique – at least for evolutionary algorithms) Derive each new assignment by somehow combining two old assignments, not just modifying one ( sexual reproduction or crossover ) Parent 1. Parent Child 1. Child 2. Mutation. Good idea /425 Declarative Methods - J. Eisner. slide thanks to Russ Greiner and Dekang Lin (modified)
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