A graph-based crossover and soft-repair operators for the steiner tree problem (2021)
- Authors:
- Autor USP: TINÓS, RENATO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1007/978-3-030-91702-9_8
- Subjects: TEORIA DOS GRAFOS; OTIMIZAÇÃO COMBINATÓRIA; ALGORITMOS GENÉTICOS
- Keywords: Steiner Tree Problem in Graphs; Partition based crossover; Genetic algorithms
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13073, p. 111-125, 2021
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GODOI, Giliard Almeida de e TINÓS, Renato e SANCHES, Danilo Sipoli. A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_8. Acesso em: 27 abr. 2024. , 2021 -
APA
Godoi, G. A. de, Tinós, R., & Sanches, D. S. (2021). A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91702-9_8 -
NLM
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8 -
Vancouver
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8 - Optimal neuron selection and generalization: NK ensemble neural networks
- Computação evolutiva em ambientes dinâmicos
- A hybrid immigrants scheme for genetic algorithms in dynamic environments
- Auto-organização da população em sistemas imunológicos artificiais para otimização multimodal contínua
- Strategies to increase solutions variability in protein folding in silico via genetic algorithms
- Genetic algorithms with self-organized criticality for dynamic optimization problems
- Evolutionary programming with q-Gaussian mutation for dynamic optimization problems
- Diversity control in genetic algorithms for protein structure prediction
- Use of explicit memory in the dynamic traveling salesman problem
- An evolving artificial neural network for the investigation of rat exploratory behavior
Informações sobre o DOI: 10.1007/978-3-030-91702-9_8 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
