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
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
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: 09 maio 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 maio 09 ] 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 maio 09 ] Available from: https://doi.org/10.1016/j.swevo.2016.05.001 - On the effectiveness of genetic algorithms for the multidimensional knapsack problem
- Multimodality and the linkage-learning difficulty of additively separable functions
- Using smart sampling to discover promising regions and increase the efficiency of differential evolution
- Permutation-based recombination operator to node-depth encoding
- An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
- A multi-criterion evolutionary approach applied to phylogenetic reconstruction
- Ensemble of predictors and laser induced breakdown spectroscopy for certifying coffee
- Mutation-based compact genetic algorithm for spectroscopy variable selection in determining protein concentration in wheat grain
- Reduced pareto set genetic algorithm: application to protein structure prediction
- Multi-objective phylogenetic algorithm: solving multi-objective decomposable deceptive problems
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
