Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms: Part I: proposal and properties analysis (2016)
- Authors:
- Autor USP: DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.swevo.2016.05.001
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Keywords: Network design problems; Tree representations; Dynamic data structures; Evolutionary algorithms
- Language: Inglês
- Imprenta:
- Source:
- Título: Swarm and Evolutionary Computation
- ISSN: 2210-6502
- Volume/Número/Paginação/Ano: v. 31, p. 1-10, Dec. 2016
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LIMA, Telma Woerle de et al. Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms: Part I: proposal and properties analysis. Swarm and Evolutionary Computation, v. 31, p. 1-10, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.swevo.2016.05.001. Acesso em: 18 fev. 2026. -
APA
Lima, T. W. de, Delbem, A. C. B., Soares, A. da S., Federson, F. M., London Junior, J. B. A., & Baalen, J. V. (2016). Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms: Part I: proposal and properties analysis. Swarm and Evolutionary Computation, 31, 1-10. doi:10.1016/j.swevo.2016.05.001 -
NLM
Lima TW de, Delbem ACB, Soares A da S, Federson FM, London Junior JBA, Baalen JV. Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms: Part I: proposal and properties analysis [Internet]. Swarm and Evolutionary Computation. 2016 ; 31 1-10.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1016/j.swevo.2016.05.001 -
Vancouver
Lima TW de, Delbem ACB, Soares A da S, Federson FM, London Junior JBA, Baalen JV. Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms: Part I: proposal and properties analysis [Internet]. Swarm and Evolutionary Computation. 2016 ; 31 1-10.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1016/j.swevo.2016.05.001 - On the effectiveness of genetic algorithms for the multidimensional knapsack problem
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Informações sobre o DOI: 10.1016/j.swevo.2016.05.001 (Fonte: oaDOI API)
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