How to select optimal control parameters for genetic algorithms

IEEE International Symposium on Industrial Electronics

Volumn 1, Issue , 2000, Pages 37-41

  Yang, Q W ^a   Jiang, J P ^a   Chen, G ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN ALGEBRA; MATHEMATICAL OPERATORS; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION;

OPTIMAL CONTROL PARAMETERS;

GENETIC ALGORITHMS;

EID: 0034429876     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. An extension the theory of convergence and a proof of the time complexity of genetic algorithms
2. Escaping brittleness: The possibilities of general-purpose learning algorithm applied to paralleled rule-based systems
3. Machine learning of visual recognition using genetic algorithms
4. Evolving networks: Using the genetic algorithms with connectionist learning
5. Towards the genetic synthesis of neural networks
6. Adaptive system design: A genetic approach
7. Control system optimization using genetic algorithms
8. Genetic algorithms for the traveling salesman problem
9. The development and evaluation of an improved genetic algorithm based on migration and artificial selection
10. Adaptive probabilities of crossover and mutation in genetic algorithms
11. Optimization of control parameters for genetic algorithms