Title :
An improved genetic algorithm based on J1 triangulation and fixed point theory
Author :
Zhang, Jingjun ; Shang, Yanmin ; Gao, Ruizhen ; Dong, Yuzhen
Author_Institution :
Sci. Res. Office, Hebei Univ. of Eng., Handan, China
Abstract :
An improved genetic algorithm based on J1 triangulation is proposed for multimodal optimization problems. And the fixed point theory is introduced into this improved algorithm. The optimal problems are conversed to fixed point problems. In this paper, several typical functions are used to demonstrate the effectiveness of this algorithm, and the testing results show that the improved genetic algorithm is valid and highly effective.
Keywords :
computational geometry; genetic algorithms; J1 triangulation; fixed point theory; improved genetic algorithm; multimodal optimization problem; Biological system modeling; Decision making; Design engineering; Design optimization; Educational institutions; Equations; Genetic algorithms; Genetic engineering; Optimization methods; Testing; J1 triangulation; fixed point; genetic algorithm; multimodal; optimization;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234977
