Retaining diversity of search point distribution through a breeder genetic algorithm for neural network learning

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 1, Issue , 1997, Pages 495-498

  Popovic, D ^a   Murty, K C S ^b  

^a UNIVERSITY OF BREMEN   (Germany)

^b CEEFU   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BREEDER GENETIC ALGORITHM; FIXED STRUCTURE; NETWORK STRUCTURES; NEURAL NETWORK LEARNING; OPTIMISATIONS; PRE-MATURE CONVERGENCES;

GENETIC ALGORITHMS; STRUCTURAL OPTIMIZATION; CONVERGENCE OF NUMERICAL METHODS; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING;

NEURAL NETWORKS;

BREEDER GENETIC ALGORITHMS (BGA); SEARCH POINT DISTRIBUTION;

EID: 0030660015     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.611718     Document Type: Conference Paper

References (3)

1. Y. Ichikawa, "Neural Network Application for Direct Feedback Controllers," IEEE Trans. on Neura Networks, vol. 3, No. 2, March 1992.
2. H. Muhlenbein, "The Science of Breedmg and ist Application to Evolutionary Algorithms," Techn. Report 15-As, GMD, Sankt Augustin, Germany.
3. Y. Ichikawa and Y. Ishi, "Retaining Diversity of Genetic Algorithms for Multi-Variable Optimisation and Neural Network Learning," IEEE Intnl. ConJ on Neural Networks, San Francisco 1993.