New heuristic and hybrid genetic algorithm for solving the bounded diameter minimum spanning tree problem

  • Authors:
  • Thanh Thi Huynh Binh;Robert I. McKay;Nguyen Xuan Hoai;Nguyen Duc Nghia

  • Affiliations:
  • Ha Noi University of Technology, Hanoi, Vietnam;Seoul National University, Seoul, South Korea;Seoul National University, Seoul, South Korea;Hanoi University of Technology, Hanoi, Vietnam

  • Venue:
  • Proceedings of the 11th Annual conference on Genetic and evolutionary computation
  • Year:
  • 2009

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Abstract

In this paper, we propose a new heuristic, called Center-Based Recursive Clustering - CBRC, for solving the bounded diameter minimum spanning tree (BDMST) problem. Our proposed hybrid genetic algorithm [12] is also extended to include the new heuristic and a multi-parent crossover operator. We test the new heuristic and genetic algorithm on two sets of benchmark problem instances for the Euclidean and Non-Euclidean cases. Experimental results show the effectiveness of the proposed heuristic and genetic algorithm.