Simulated annealing for hard satisfiability problems
暂无分享,去创建一个
[1] W. Spears,et al. Using Neural Networks and Genetic Algorithms as Heuristics for NP-Complete Problems , 1983 .
[2] Bart Selman,et al. Domain-Independent Extensions to GSAT : Solving Large StructuredSatis ability , 1993 .
[3] Kenneth A. De Jong,et al. Using Genetic Algorithms to Solve NP-Complete Problems , 1989, ICGA.
[4] Hector J. Levesque,et al. Hard and Easy Distributions of SAT Problems , 1992, AAAI.
[5] Thomas Bäck,et al. Optimal Mutation Rates in Genetic Search , 1993, ICGA.
[6] Hector J. Levesque,et al. A New Method for Solving Hard Satisfiability Problems , 1992, AAAI.
[7] James M. Crawford,et al. Experimental Results on the Crossover Point inSatis ability , 1993 .
[8] Bart Selman,et al. An Empirical Study of Greedy Local Search for Satisfiability Testing , 1993, AAAI.
[9] R. A. Young,et al. A Hybrid Genetic Algorithm for a Logic Problem , 1990, European Conference on Artificial Intelligence.
[10] William M. Spears,et al. A NN Algorithm for Hard Satisfiability Problems † , 1993 .
[11] Jun Gu,et al. Efficient local search for very large-scale satisfiability problems , 1992, SGAR.
[12] Bart Selman,et al. Local search strategies for satisfiability testing , 1993, Cliques, Coloring, and Satisfiability.