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An Ant Colony Optimization approach to solve the minimum string cover problem

机译:一种解决最小字符串覆盖问题的蚁群优化方法

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In this paper, we consider the problem of covering a set of strings S with a set of strings C. C is said to cover S if every string in S can be written as a concatenation of a set of strings which are elements of C. We discuss here three different variants of Ant Colony Optimization (ACO) and propose how we can solve the minimum string cover problem using these techniques. Our simulation results show that ACO based approach gives better solution than the existing approximation algorithm for this problem.
机译:在本文中,我们考虑了用一组字符串C覆盖一组字符串S的问题。如果S中的每个字符串都可以写为一组作为C元素的字符串的串联,则C覆盖了S.我们在这里讨论蚁群优化(ACO)的三种不同变体,并提出如何使用这些技术解决最小字符串覆盖问题。我们的仿真结果表明,针对该问题,基于ACO的方法比现有的近似算法提供了更好的解决方案。

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