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-reli...
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Associação Brasileira de Engenharia de Produção (ABEPRO)
2014-09-01
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300014&lng=en&tlng=en |
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doaj-37be3c58cee4406ea13927cab1eb31ff2020-11-24T23:12:02ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Production1980-54112014-09-0124366467410.1590/S0103-65132014000300014S0103-65132014000300014Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategyDalessandro Soares Vianna0Marcilene de Fátima Dianin Vianna1Universidade Cândido MendesUniversidade Federal FluminenseA 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300014&lng=en&tlng=enPhylogeny problemEvolutionary treesGRASPPath-relinkingGenetic algorithmHeuristics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dalessandro Soares Vianna Marcilene de Fátima Dianin Vianna |
spellingShingle |
Dalessandro Soares Vianna Marcilene de Fátima Dianin Vianna Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy Production Phylogeny problem Evolutionary trees GRASP Path-relinking Genetic algorithm Heuristics |
author_facet |
Dalessandro Soares Vianna Marcilene de Fátima Dianin Vianna |
author_sort |
Dalessandro Soares Vianna |
title |
Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy |
title_short |
Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy |
title_full |
Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy |
title_fullStr |
Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy |
title_full_unstemmed |
Hybrid GRASP heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy |
title_sort |
hybrid grasp heuristics for the phylogeny problem combining path-relinking and genetic algorithm as an intensification strategy |
publisher |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
series |
Production |
issn |
1980-5411 |
publishDate |
2014-09-01 |
description |
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. |
topic |
Phylogeny problem Evolutionary trees GRASP Path-relinking Genetic algorithm Heuristics |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132014000300014&lng=en&tlng=en |
work_keys_str_mv |
AT dalessandrosoaresvianna hybridgraspheuristicsforthephylogenyproblemcombiningpathrelinkingandgeneticalgorithmasanintensificationstrategy AT marcilenedefatimadianinvianna hybridgraspheuristicsforthephylogenyproblemcombiningpathrelinkingandgeneticalgorithmasanintensificationstrategy |
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