Page 237 - 49A Field Guide to Genetic Programming

BIBLIOGRAPHY 223

Y. Zhang and P. I. Rockett. Evolving optimal feature extraction using multi-objective
genetic programming: a methodology and preliminary study on edge detection. In H.-
G. Beyer, et al., editors, GECCO 2005: Proceedings of the 2005 conference on Genetic
and evolutionary computation, volume 1, pages 795–802, Washington DC, USA, 25-29
June 2005. ACM Press. ISBN 1-59593-010-8. URL http://www.cs.bham.ac.uk/~wbl/
biblio/gecco2005/docs/p795.pdf. GPBiB
Y. Zhang and P. I. Rockett. Feature extraction using multi-objective genetic program-
ming. In Y. Jin, editor, Multi-Objective Machine Learning, volume 16 of Studies in
Computational Intelligence, chapter 4, pages 79–106. Springer, 2006. ISBN 3-540-
30676-5. Invited chapter. GPBiB
E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolu-
tionary Algorithm. Technical Report 103, Gloriastrasse 35, CH-8092 Zurich, Switzer-
land, 2001. URL http://citeseer.ist.psu.edu/article/zitzler01spea.html.

100 1000 2
Avg Size Avg Fitness sin(x)
Best Fitness GP (gen=85)
90
1.5
80
1
70
100
0.5
60
Generation 85 Average Size 50 Fitness 0
40 -0.5
10
30
(see Sec. B.4) 20 -1
-1.5
10
1 -2
0 20 40 60 80 100 0 20 40 60 80 100 0 1 2 3 4 5 6
Generations Generations x