Node-depth encoding for evolutionary algorithms applied to multi-vehicle routing problem (2005)
- Authors:
- Autor USP: DELBEM, ALEXANDRE CLAUDIO BOTAZZO - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2005
- Source:
- Título do periódico: Lectures Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 3533
- Conference titles: Innovations in Applied Artificial Intelligence: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Proceedings
-
ABNT
LIBRALÃO, Giampaolo L et al. Node-depth encoding for evolutionary algorithms applied to multi-vehicle routing problem. Lectures Notes in Computer Science. Heidelberg: Springer. . Acesso em: 24 abr. 2024. , 2005 -
APA
Libralão, G. L., Pereira, F. C., Lima, T. W., & Delbem, A. C. B. (2005). Node-depth encoding for evolutionary algorithms applied to multi-vehicle routing problem. Lectures Notes in Computer Science. Heidelberg: Springer. -
NLM
Libralão GL, Pereira FC, Lima TW, Delbem ACB. Node-depth encoding for evolutionary algorithms applied to multi-vehicle routing problem. Lectures Notes in Computer Science. 2005 ; 3533[citado 2024 abr. 24 ] -
Vancouver
Libralão GL, Pereira FC, Lima TW, Delbem ACB. Node-depth encoding for evolutionary algorithms applied to multi-vehicle routing problem. Lectures Notes in Computer Science. 2005 ; 3533[citado 2024 abr. 24 ] - A new approach based on genetic ensemble feature selection to construct neural network ensembles: an application to gustative sensors
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