Title :
A novel genetic algorithm with diversity reproduction
Author :
Huang, Shih-Yuan ; Mao, Chi-Wu ; Cheng, Kuo-Sheng
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Genetic algorithm is one of the major tools for solving the optimization problem. Its global convergence and searching strategy significantly affect the performance. In This work, a novel genetic algorithm is proposed to include the diversity strategy and reviving strategy. From the experimental results of solving two typical test functions, the performance of the proposed algorithm is better than that of the traditional genetic algorithm.
Keywords :
convergence; genetic algorithms; search problems; diversity reproduction; diversity strategy; genetic algorithm; global convergence; optimization; reviving strategy; searching strategy; Biological information theory; Biology computing; Biomedical engineering; Convergence; Cost function; Diversity reception; Genetic algorithms; Genetic mutations; Testing; Wheels;
Conference_Titel :
Circuits and Systems, 2004. Proceedings. The 2004 IEEE Asia-Pacific Conference on
Print_ISBN :
0-7803-8660-4
DOI :
10.1109/APCCAS.2004.1413043
