Genetic algorithms with self-organized criticality for dynamic optimization problems (2005)
- Authors:
- Autor USP: TINÓS, RENATO - FFCLRP
- Unidade: FFCLRP
- Assunto: ALGORITMOS GENÉTICOS
- Language: Inglês
- Imprenta:
- ISBN: 0-7803-9363-5
- Source:
- Título: Proceedings
- Conference titles: IEEE Congress on Evolutionary Computational
-
ABNT
TINÓS, Renato e YANG, Shengxiang. Genetic algorithms with self-organized criticality for dynamic optimization problems. 2005, Anais.. Edinburgh: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2005. . Acesso em: 14 mar. 2026. -
APA
Tinós, R., & Yang, S. (2005). Genetic algorithms with self-organized criticality for dynamic optimization problems. In Proceedings. Edinburgh: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. -
NLM
Tinós R, Yang S. Genetic algorithms with self-organized criticality for dynamic optimization problems. Proceedings. 2005 ;[citado 2026 mar. 14 ] -
Vancouver
Tinós R, Yang S. Genetic algorithms with self-organized criticality for dynamic optimization problems. Proceedings. 2005 ;[citado 2026 mar. 14 ] - 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
- Analysing fitness landscape changes in evolutionary robots
- Improving an exact solver for the Traveling Salesman Problem using partition crossover
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
