Evolutionary dynamics of evolutionary programming in noisy environment

被引:0
|
作者
Matsumura, Y [1 ]
Ohkura, K [1 ]
Ueda, K [1 ]
机构
[1] Kobe Univ, Kobe, Hyogo 6578501, Japan
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The 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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页码:17 / 24
页数:8
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