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Using Bees to Solve a Data-Mining Problem Expressed as a Max-Sat One

机译:使用蜜蜂解决数据挖掘问题,表示为MAX-SAT一个

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The "NP-Complete" class gathers very significant practical problems such as Sat, Max-Sat, partitioning There is not polynomial algorithm for the resolution of these problems. As a result, the interest in heuristics and meta-heuristics is still growing. In this paper, we present a very recent metaheuristic introduced to solve a 3-sat problem. This metaheuristic can be classified as an evolutionary algorithm. It is based on the process of bees' reproduction. We adapted it for the resolution of the Max-Sat problem. We tested it on a medical benchmark obtained from a data-mining problem that we translated into a Max-Sat problem.
机译:“NP-Chease”课堂收集了非常重要的实际问题,如SAT,MAX-SAT,分区没有多项式算法用于解决这些问题。因此,对启发式和荟萃启发式的兴趣仍在增长。在本文中,我们展示了一个最近引入的成群质主义,以解决3周六的问题。这种成分型可以被归类为进化算法。它基于蜜蜂的繁殖过程。我们调整了解决MAX-SAT问题的解决方案。我们在从数据挖掘问题获得的医疗基准测试中测试了我们转化为MAX-SAT问题的医疗基准测试。

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