DocumentCode
3394735
Title
Modified genetic algorithms based on disparity theory of evolution
Author
Maeda, Yoichiro
Author_Institution
Fac. of Inf. Sci. & Technol., Osaka Electro-Commun. Univ., Japan
Volume
4
fYear
2001
fDate
25-28 July 2001
Firstpage
2235
Abstract
Generally, it has been a problem that the searching performance in the initial and final stages of a genetic algorithm (GA) search is not always good because the genetic parameters are normally constant. We apply the disparity theory of evolution proposed by M. Furusawa et al. (1992) to GA searches. In this research, we propose a parity-and-disparity model of GAs, which uses the mutation algorithm of this theory. We also report some simulation results using a knapsack problem
Keywords
genetic algorithms; knapsack problems; parity; performance index; search problems; simulation; constant genetic parameters; disparity theory; evolution; knapsack problem; modified genetic algorithms; mutation algorithm; parity model; searching performance; simulation; Biological cells; Biological system modeling; DNA; Evolution (biology); Genetic algorithms; Genetic mutations; Information science; Search methods; Search problems; Spirals;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.944419
Filename
944419
Link To Document