Evolutionary dynamics of evolutionary programming in noisy environment
Yoko Matsumura, Kazuhiro Ohkura, K. Ueda · 2002
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 T/sup 2/ 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.