吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (3): 930-936.doi: 10.13229/j.cnki.jdxbgxb201703033

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Min-length hitting set GRASP algorithm based on dynamic degree of components

WANG Yi-yuan1, 2, OUYANG Dan-tong1, 2, ZHANG Li-ming1, 2   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012,China;
    2.Symbol Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China
  • Received:2016-04-13 Online:2017-05-20 Published:2017-05-20

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Abstract: This paper proposes an improved Greedy Randomized Adaptive Search Procedure (GPASP) algorithm, named GPHS (GRASP for Hitting Set). First, in the construction process, a score mechanism is proposed based on the dynamic degree of components namely d-covered to select one component which is the most likely component of min-length hitting set, avoiding to add the unlike component into the current solution. Then, in the local search process, a championship mechanism is designed based on the dynamic degree of components namely d-covered to remove the unlike redundant component from the current solution. In addition, a time complexity analysis of complete and incomplete algorithms is given. Experimental results show that, compared with a state-of-the-art complete algorithm, the proposed algorithm can find the optimal solution in a shorter time, and also find min-length hitting set with shorter length than the previous incomplete algorithm in the same test distances.

Key words: artificial intelligence, model-based diagnosis, min-length hitting set, greedy randomized adaptive search procedure(GRASP) algorithm, dynamic degree of components

CLC Number: 

  • TP301.6
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