DocumentCode :
3251575
Title :
Evolutionary dynamics of evolutionary programming in noisy environment
Author :
Matsumura, Yoshiyuki ; Ohkura, Kazuhiro ; Ueda, Kanji
Author_Institution :
Kobe Univ., Japan
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
17
Abstract :
The effect of noise on the evolutionary dynamics of evolutionary programming (EP) is empirically observed using three different statistical values. These are: (1) the averaged best function values, (2) the average of the strategy parameters, and (3) Hotelling´s T2 of real values. The classical EP (CEP) of D.B. Fogel (1995), the fast EP (FEP) of X. Yao & Y. Liu (1996) and our extended, robust EP (REP) (Y. Matsumura, K. Ohkura & K. Ueda, 1999) are adopted for the observation. We show that REP performs more robustly than CEP and FEP for six noisy test functions
Keywords :
evolutionary computation; noise; statistics; Hotelling T2 value; average strategy parameter; averaged best function values; evolutionary dynamics; evolutionary programming; noisy environment; noisy test functions; robust performance; statistical values; Convergence; Dynamic programming; Gaussian noise; Genetic mutations; Genetic programming; Noise level; Noise reduction; Noise robustness; Robots; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
Type :
conf
DOI :
10.1109/CEC.2001.934365
Filename :
934365
Link To Document :
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