DocumentCode :
2331654
Title :
An Improved Genetic Algorithm Based on hK1 Triangulation
Author :
Zhang, Jingjun ; Shang, Yanmin ; Gao, Ruizhen ; Dong, Yuzhen
Author_Institution :
Sci. Res. Office, Hebei Univ. of Eng., Handan
fYear :
2008
fDate :
20-20 Nov. 2008
Firstpage :
73
Lastpage :
78
Abstract :
An improved genetic algorithm based on the hK1 triangulation is proposed for optimization of dual multimodal function. With this algorithm, the optimal problems converse to solution of fixed point problems. The minimum points can be distinguished by using the Hessian Matrix. The test results of many typical functions indicated that the algorithm is valid and highly effective.
Keywords :
Hessian matrices; computational geometry; genetic algorithms; Hessian matrix; dual multimodal function; fixed point problems; genetic algorithm; hK1 triangulation; optimization; Engineering management; Fuzzy systems; Genetic algorithms; Genetic engineering; Information management; Information technology; Optimization methods; Seminars; Technology management; Testing; Fixed Point; Genetic Algorithm; Hessian Matrix; Optimal design; hK1 triangulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering, 2008. FITME '08. International Seminar on
Conference_Location :
Leicestershire, United Kingdom
Print_ISBN :
978-0-7695-3480-0
Type :
conf
DOI :
10.1109/FITME.2008.158
Filename :
4746445
Link To Document :
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