Evolutionary Dynamics of Evolutionary Programming in Noisy Environment
نویسندگان
چکیده
AbstractThe effect of noise on 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 strategy parameters and (3) Hotelling’s T 2 of real values. The classical-EP(CEP), Fast-EP(FEP) and Robust-EP(REP) which stand for Fogel’s EP, Yao and Liu’s EP and our extended EP, respectively, are adopted for the observation. We show that REP performs more robustly than CEP and FEP for six noisy test functions.
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