Title :
A modified genetic algorithm-algorithm description
Author :
Hua, Xu ; Yannan, Zhao ; Peifa, Jia
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
Abstract :
Based on the analyses of the limitation of a common genetic algorithm and the model of the structure and development of human society, the paper discusses a modified genetic algorithm. The algorithm applies unidirectional inheritance and hierarchical structure to solve the optimizing problems. This method can not only reserve the useful genetic information, but also make the succeeding inheritance more goal-oriented. It utilizes the intrinsic genetic knowledge to calculate
Keywords :
fuzzy set theory; genetic algorithms; geometry; pattern clustering; social sciences; genetic information; hierarchical structure; human society; intrinsic genetic knowledge; modified genetic algorithm; unidirectional inheritance; Algorithm design and analysis; Computer science; Electronic mail; Genetic algorithms; Genetic mutations; Humans; Intelligent structures; Intelligent systems; Laboratories; Modems;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893421
