Title :
A modified contract mapping genetic algorithm
Author :
Dunwei Gong ; Xiaoyan Sun
Author_Institution :
Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Jiangsu
Abstract :
A novel closed crossing avoidance strategy is put forth considering the relation between diversity of evolution population and evolution times. Based on it, a modified contract mapping genetic algorithm (MCMGA) is presented. Not only can the algorithm converge to globally optimal solution but also it improves the speed of convergence. It is shown from simulation that the algorithm presented in this paper is efficient contrast with simple genetic algorithm and former contract mapping genetic algorithm.
Keywords :
convergence of numerical methods; genetic algorithms; closed crossing avoidance strategy; convergence speed; evolution population; evolution times; modified contract mapping genetic algorithm;
Conference_Titel :
Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7369-3
DOI :
10.1109/ISIE.2002.1026092
