Study of Lower Bound Functions for MAX-2-SAT

نویسندگان

  • Haiou Shen
  • Hantao Zhang
چکیده

Recently, several lower bound functions are proposed for solving the MAX-2-SAT problem optimally in a branch-and-bound algorithm. These lower bounds improve significantly the performance of these algorithms. Based on the study of these lower bound functions, we propose a new, liner-time lower bound function. We show that the new lower bound function is consistently and substantially better than other known lower bound functions. The result of this study is a highperformance implementation of an exact algorithm for MAX-2-SAT which outperforms any implementation of the same class.

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تاریخ انتشار 2004