Rocío Santillán Rodríguez, Carolina Yolanda Castañeda Roldán, Javier Garcés Eisele, Ma. del Pilar Gómez Gil, Mauricio Osorio
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引用次数: 3
Abstract
This article presents an approach to solve the typing problem using algorithms for set covering. Two algorithms to solve this problem were designed and compared. The typing problem consists of distinguishing all sequences using the least possible reagents. For each reagent, their capacity to distinguish between pairs of sequences is represented in a matrix and-then mapped to the set-covering problem. In (J. Lozano Yecora, MS Thesis. Uni. de las Americas, Puebla, Dept. of Comp. Science, 2004), a proof of the equivalence of this problem with the set covering problem is presented; here, the results of an exact algorithm to solve the set-covering problem are presented. This algorithm uses a branch and bound method based on some intuitive properties of the solution, applying recursion as the final resource. Two approximation algorithms were also implemented and tested. One is an improved greedy algorithm and the other is based on dynamic programming. Real as well as randomly created instances were used to test the algorithms.
本文提出了一种使用集合覆盖算法解决类型化问题的方法。设计并比较了两种解决该问题的算法。分型问题包括使用尽可能少的试剂区分所有序列。对于每种试剂,它们区分序列对的能力用矩阵表示,然后映射到集合覆盖问题。In (J. Lozano Yecora),硕士论文。大学。de las Americas, Puebla, department of Comp Science, 2004),给出了该问题与集合覆盖问题等价的证明;本文给出了一种求解集合覆盖问题的精确算法的结果。该算法基于解的一些直观性质,采用分支定界法,将递归作为最终资源。实现并测试了两种近似算法。一种是改进的贪心算法,另一种是基于动态规划的算法。真实的和随机创建的实例被用来测试算法。