Minimum-weight spanning tree algorithms a survey and empirical study
Computers and Operations Research
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A New Evolutionary Algorithm for the Bi-objective Minimum Spanning Tree
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
A memetic algorithm for the biobjective minimum spanning tree problem
EvoCOP'06 Proceedings of the 6th European conference on Evolutionary Computation in Combinatorial Optimization
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
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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.