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Solving 0-1Knapsack Problem Based on Rough Set Theory

机译:基于粗糙集理论的0-1背包问题求解

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A kind of algorithm is proposed in this paper to improve the searching efficiency, which combinates Rough Set Theory (RST) and Genetic Algorithm (GA) for 0-1 knapsack problem???The study is to utilize the knowledge discovery function of RST to find the important genes in GA. Then directed evolution is carried out according to the important genes. Finally,an example of four knapsack problem is used to test. The searching space is reduced and the important genes ensure the effective information will not be lost. The algorithm is able to improve the searching efficiency and the quality of GA .
机译:本文提出了一种提高搜索效率的算法,将粗糙集理论(RST)和遗传算法(GA)相结合,解决了0-1背包问题。在GA中找到重要的基因。然后根据重要基因进行定向进化。最后,以四个背包问题为例进行测试。搜索空间减少,重要的基因确保有效信息不会丢失。该算法能够提高遗传算法的搜索效率和质量。

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