Title :
An Improved genetic algorithm based on K1 triangulation with variable coefficient for optimization of multimodal functions
Author :
Zhang, Jingjun ; Shang, Yanmin ; Gao, Ruizhen ; Dong, Yuzhen
Author_Institution :
Sci. Res. Office, Hebei Univ. of Eng., Handan
Abstract :
In this paper, an improved genetic algorithm based on the K1 triangulation with variable coefficient is proposed for optimization of dual multimodal function. With this algorithm, the optimal problems can transfer to solution of fixed point problems. Hessian Matrix is used to distinguish the minimum points. The test results of much typical function demonstrate that the algorithm is valid and highly effective.
Keywords :
Hessian matrices; genetic algorithms; Hessian Matrix; K1 triangulation; genetic algorithm; multimodal functions optimization; Algorithm design and analysis; Decision making; Design engineering; Design optimization; Educational institutions; Equations; Genetic algorithms; Genetic engineering; Stochastic processes; Testing; Fixed Point; Genetic Algorithm; Hessian Matrix; Optimal design; hK1 triangulation;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138175
