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A combination method for join ordering problem in relational databases using genetic algorithm and ant colony

机译:基于遗传算法和蚁群的关系数据库联接排序问题组合方法

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Optimization of the join ordering in query is aimed at finding an execution plan so that total cost for execution of query could be minimized. In general, this problem is considered as NP-Complete. Yet, various methods have been proposed for the problem. In this paper, the problem of optimization of the join ordering has been solved using combination of genetic algorithm and ant colony algorithm. The result shows that the proposed solution, totally, is of shorter execution time and higher convergence speed than existing methods.
机译:查询中连接顺序的优化旨在查找执行计划,以便可以将执行查询的总成本降至最低。通常,此问题被认为是NP-Complete。然而,已经提出了用于该问题的各种方法。本文结合遗传算法和蚁群算法解决了连接排序的优化问题。结果表明,与现有方法相比,所提出的解决方案总体上具有执行时间短,收敛速度快的优点。

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