DocumentCode :
1870958
Title :
A peak shape identification genetic algorithm with a radial basis function
Author :
Fujimoto, Yoshiji ; Tsutsui, Shigeyoshi
Author_Institution :
Dept. of Appl. Math. & Inf., Ryukoku Univ., Ohtsu, Japan
fYear :
1997
fDate :
13-16 Apr 1997
Firstpage :
349
Lastpage :
354
Abstract :
We propose a peak shape identification GA (psi-GA), that searches the best peak of a fitness function and identifies its shape, that is, how sharp or blunt the peak is. We introduce a parameter of radial basis functions in a chromosome of a genetic algorithm to represent the shape of a peak. The modified fitness function is defined as an additional form of the original fitness function and the similarity between the shape of a peak and that of the radial basis function defined by a chromosome. The calculation of similarity allows to implement a local search easily as a by-product. The psi-GA also has the availability to search peaks of a fitness function selectively according to their shapes. The empirical results show that the psi-GA has both sufficient performance to search the best peak of the fitness function and to identify the shape of the peak
Keywords :
cellular biophysics; feedforward neural nets; genetic algorithms; performance evaluation; search problems; calculation; chromosome; fitness function; peak shape identification genetic algorithm; performance; psi-GA; radial basis function; search; shape representation; Biological cells; Genetic algorithms; Informatics; Information management; Information science; Lenses; Mathematics; Robust control; Shape measurement; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
Type :
conf
DOI :
10.1109/ICEC.1997.592334
Filename :
592334
Link To Document :
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