Title :
The application of genetic algorithm based on matlab in function optimization
Author :
Liu, Guangya ; Chen, Jingli
Author_Institution :
Hubei Univ. of Technol., Wuhan, China
Abstract :
This paper introduces the theory of genetic algorithm. The specific operation flow of genetic algorithm is described. The application of genetic algorithm in function optimization has been achieved by the using of matlab programming language. The process of programming shows that it is very easy, flexible and efficient to optimize and compute with matlab language, and the effectiveness of genetic algorithm in function optimization has been demonstrated by the matlab simulation results.
Keywords :
functions; genetic algorithms; mathematics computing; programming languages; Matlab programming language; Matlab simulation; function optimization; genetic algorithm; Biological cells; Educational institutions; Encoding; Genetic algorithms; Optimization methods; Simulation; function optimization; genetic algorithm; matlab;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6058092
