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

机译:用蜜蜂解决表示为最大卫星数的数据挖掘问题

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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-Complete”类收集了非常重要的实际问题,例如Sat,Max-Sat,分区。没有多项式算法可以解决这些问题。结果,对启发式和元启发式的兴趣仍在增长。在本文中,我们介绍了一种最新的元启发式方法,用于解决3-sat问题。这种元启发法可以归类为进化算法。它基于蜜蜂繁殖的过程。我们对其进行了调整,以解决Max-Sat问题。我们在从数据挖掘问题获得的医学基准上对其进行了测试,然后将其转换为Max-Sat问题。

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