Title :
An improved genetic algorithm based on triangulation
Author :
Liu, Guangyuan ; Li, Xuedong ; Wang, Shuxin ; Ma, Yongqiang
Author_Institution :
Sci. Res. Office Organ., Hebei Univ. of Eng., Handan, China
Abstract :
An improved genetic algorithm based on the hJ1 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; genetic algorithms; Hessian matrix; genetic algorithm; hJ1 triangulation; optimization; Equations; Fuzzy systems; Genetic algorithms; Genetic engineering; Stochastic processes; Sufficient conditions; Testing; fixed point; genetic algorithm; optimal; tiangulation;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357804
