Generalizing and unifying gray-box combinatorial optimization operators (2024)
- Authors:
- Autor USP: TINÓS, RENATO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1007/978-3-031-70055-2_4
- Subjects: MATEMÁTICA; OPERADORES; OTIMIZAÇÃO COMBINATÓRIA
- Keywords: Gray-box optimization; Hill climbing; Partition crossover; Combinatorial optimization; Group theory
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer International Publishing
- Publisher place: Hagenberg
- Date published: 2024
- Source:
- Título: Lecture Notes in Computer Science
- Volume/Número/Paginação/Ano: v. 15148, p. 52–67
- Conference titles: International Conference on Parallel Problem Solving from Nature (PPSN)
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CHICANO, Francisco et al. Generalizing and unifying gray-box combinatorial optimization operators. Lecture Notes in Computer Science. Hagenberg: Springer International Publishing. Disponível em: https://doi.org/10.1007/978-3-031-70055-2_4. Acesso em: 10 fev. 2026. , 2024 -
APA
Chicano, F., Whitley, D., Ochoa, G., & Tinós, R. (2024). Generalizing and unifying gray-box combinatorial optimization operators. Lecture Notes in Computer Science. Hagenberg: Springer International Publishing. doi:10.1007/978-3-031-70055-2_4 -
NLM
Chicano F, Whitley D, Ochoa G, Tinós R. Generalizing and unifying gray-box combinatorial optimization operators [Internet]. Lecture Notes in Computer Science. 2024 ; 15148 52–67.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4 -
Vancouver
Chicano F, Whitley D, Ochoa G, Tinós R. Generalizing and unifying gray-box combinatorial optimization operators [Internet]. Lecture Notes in Computer Science. 2024 ; 15148 52–67.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-031-70055-2_4 - Programação evolutiva com distribuição de mutações auto-adaptativa aplicada a redes neurais artificiais
- A new method for identification of recombining components in the generalized partition crossover
- Quasi-optimal recombination operator
- Artificial neural network based crossover for evolutionary algorithms
- Analyzing evolutionary algorithms for dynamic optimization problems based on the dynamical systems approach
- Use of self-organizing suppression and q-Gaussian mutation in artificial immune systems
- Diversity control in genetic algorithms for protein structure prediction
- An efficient implementation of iterative partial transcription for the traveling salesman problem
- Tolerância a falhas em robôs manipuladores cooperativos
- Analysing fitness landscape changes in evolutionary robots
Informações sobre o DOI: 10.1007/978-3-031-70055-2_4 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
003231373.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
