Title :
Adaptive hierarchy genetic algorithm
Author :
Dunwei, Gong ; Xiaoyan, Sun ; Xijin, Guo ; Yong, Zhou
Author_Institution :
Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
Contraposed with insufficiency of the simple hierarchy genetic algorithm, the concept of individual density is first proposed in this paper to scale the diversity of population. Combined with individual density and evolution time, the adaptive hierarchy genetic algorithm is put forward. Not only can it improve the diversity of the evolution population, but also ensure rapid convergence. Application examples show its validity.
Keywords :
adaptive systems; convergence; encoding; genetic algorithms; adaptive hierarchy genetic algorithm; convergence; evolution time; individual density; population diversity scaling; Adaptive control; Biological cells; Constitution; Convergence; Educational institutions; Encoding; Genetic algorithms; Programmable control; Sun; Visualization;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1181219
