Page 211 - 49A Field Guide to Genetic Programming
P. 211
BIBLIOGRAPHY 197
T. L. Lew, A. B. Spencer, F. Scarpa, K. Worden, A. Rutherford, and F. Hemez. Iden-
tification of response surface models using genetic programming. Mechanical Systems
and Signal Processing, 20(8):1819–1831, November 2006. GPBiB
D. R. Lewin, S. Lachman-Shalem, and B. Grosman. The role of process system engineering
(PSE) in integrated circuit (IC) manufacturing. Control Engineering Practice, 15(7):
793–802, July 2006. Special Issue on Award Winning Applications, 2005 IFAC World
Congress. GPBiB
J. Li and E. P. K. Tsang. Investment decision making using FGP: A case study. In P. J.
Angeline, et al., editors, Proceedings of the Congress on Evolutionary Computation,
volume 2, pages 1253–1259, Mayflower Hotel, Washington D.C., USA, 6-9 July 1999.
IEEE Press. ISBN 0-7803-5536-9 (softbound). URL http://www.cs.bham.ac.uk/~jxl/
cercialink/web/publication/CEC99.pdf. GPBiB
L. Li, W. Jiang, X. Li, K. L. Moser, Z. Guo, L. Du, Q. Wang, E. J. Topol, Q. Wang,
and S. Rao. A robust hybrid between genetic algorithm and support vector machine
for extracting an optimal feature gene subset. Genomics, 85(1):16–23, January 2005.
GPBiB
R. Linden and A. Bhaya. Evolving fuzzy rules to model gene expression. Biosystems, 88
(1-2):76–91, March 2007. GPBiB
A. Lindenmayer. Mathematic models for cellular interaction in development, parts I and
II. Journal of Theoretical Biology, 18:280–299 and 300–315, 1968.
H. Lipson. How to draw a straight line using a GP: Benchmarking evolutionary design
against 19th century kinematic synthesis. In M. Keijzer, editor, Late Breaking Papers
at the 2004 Genetic and Evolutionary Computation Conference, Seattle, Washing-
ton, USA, 26 July 2004. URL http://www.cs.bham.ac.uk/~wbl/biblio/gecco2004/
LBP063.pdf. GPBiB
J. Lohn, G. Hornby, and D. Linden. Evolutionary antenna design for a NASA spacecraft.
In U.-M. O’Reilly, et al., editors, Genetic Programming Theory and Practice II, chap-
ter 18, pages 301–315. Springer, Ann Arbor, 13-15 May 2004. ISBN 0-387-23253-2.
GPBiB
J. Lohn, A. Stoica, and D. Keymeulen, editors. The Second NASA/DoD Workshop on
Evolvable Hardware, Palo Alto, California, 13-15 July 2000. IEEE Computer Society.
ISBN 0-7695-0762-X.
M. A. Lones. Enzyme Genetic Programming: Modelling Biological Evolvability in Genetic
Programming. PhD thesis, The University of York, Heslington, York, YO10 5DD, UK,
September 2003. URL http://www-users.york.ac.uk/~mal503/common/thesis/main.
html. GPBiB
M. Looks. Scalable estimation-of-distribution program evolution. In H. Lipson, editor,
GECCO, pages 539–546. ACM, 2007. ISBN 978-1-59593-697-4.
M. Looks, B. Goertzel, and C. Pennachin. Learning computer programs with the bayesian
optimization algorithm. In H.-G. Beyer, et al., editors, GECCO 2005: Proceedings of
the 2005 conference on Genetic and evolutionary computation, volume 1, pages 747–
748, 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/p747.pdf. GPBiB
J. Louchet. Using an individual evolution strategy for stereovision. Genetic Programming
and Evolvable Machines, 2(2):101–109, June 2001. ISSN 1389-2576. GPBiB
100 1000 2
Avg Size Avg Fitness sin(x)
Best Fitness GP (gen=19)
90
1.5
80
1
70
100
0.5
60
Generation 19 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