Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy
A phylogeny is a tree that relates taxonomic units based on their similarity over a set of characteristics. The phylogeny problem under the parsimony criterion consists in finding a phylogeny with a minimum number of evolutionary steps. We propose hybrid heuristic methods - based on GRASP, path-relinking and genetic algorithm methodologies - to build a phylogeny while minimizing parsimony. Computational experiments using benchmark conditions are reported, and the results obtained by the proposed hybrid heuristics are compared with the solutions obtained by a traditional GRASP (without hybridization) heuristic and with previously reported solutions in the literature. The experimental results illustrate that the proposed heuristics are efficient in terms of solution quality and time-to-target-value.
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Format: | Digital revista |
Language: | English |
Published: |
Associação Brasileira de Engenharia de Produção
2014
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Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300014 |
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