A Plasmid Based Transgenetic Algorithm for the Biobjective Minimum Spanning Tree Problem

  • Authors:
  • Sílvia M. Monteiro;Elizabeth F. Goldbarg;Marco C. Goldbarg

  • Affiliations:
  • Department of Informatics and Applied Mathematics, Universidade Federal do Rio Grande do Norte, Natal, Brazil;Department of Informatics and Applied Mathematics, Universidade Federal do Rio Grande do Norte, Natal, Brazil;Department of Informatics and Applied Mathematics, Universidade Federal do Rio Grande do Norte, Natal, Brazil

  • Venue:
  • EvoCOP '09 Proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization
  • Year:
  • 2009

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Abstract

This paper addresses the application of a plasmid based transgenetic algorithm to the biobjective spanning tree problem, an NP-hard problem with several applications in network design. The proposed evolutionary algorithm is inspired on two major evolutionary forces: the horizontal gene transfer and the endosymbiosis. The computational experiments compare the proposed approach to another transgenetic algorithm and to a GRASP algorithm proposed recently for the investigated problem. The comparison of the algorithms is done with basis on the binary additive ***-indicator. The results show that the proposed algorithm consistently produces better solutions than the other methods.