Efficient global optimization algorithm: Empirical genetic algorithm

Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

Volumn 32, Issue 11, 2006, Pages 992-995

  Du, Xiu Li ^a   Han, Ling ^b   Jiang, Li Ping ^c  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING INSTITUTE OF ARCHITECTURAL DESIGN   (China)

^c Shandong Provincial Academy of Building Research   (China)

Author keywords

Empirical genetic algorithm; Genetic algorithm; Neural network

Indexed keywords

GLOBAL OPTIMIZATION; NEURAL NETWORKS;

EMPIRICAL GENETIC ALGORITHM;

GENETIC ALGORITHMS;

EID: 33846090254     PISSN: 02540037     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. LUO Wen-hui. Application of genetic algorithm to neural network optimization[J]. Control Engineering of China, 2003, 10(5): 401-403. (in Chinese)
2. SUN Quan-ling, HU Ping, LU Jin-gui. Optimizatin design method based on NN and GA. Computer applications[J]. 2003, 23(10): 98-99. (in Chinese)
3. WANG Wen-jian, JIA Lian-feng. Optimal feed-forward neural network architecture using synthesis method[J]. Compter Engineering and Design, 2001, 22(6): 92-94. (in Chinese)
4. YANG Hong-ming, BAI Pei-lin. Neural network charge predict model based on the genetic algorithm[J]. Electric Power of HUNAN, 2000, 20(1): 6-8. (in Chinese)
5. COOK D F, RAGSDALE G T, MAJOR R L. Combining a neural network with a genetic algorithm for process parameter optimization[J]. Engineering Application of Artificial Intelligence, 2000, 13: 391-396.
6. DU Xiu-li, ZENG Di. Structural physical parameter identification based on evolutionary-simplex algorithm and structural dynamic respose[J]. Earthquake Engineering and Engineering Vibration, 2003, 2(2): 225-236.