Page 197 - 49A Field Guide to Genetic Programming

BIBLIOGRAPHY 183

R. J. Hampo and K. A. Marko. Application of genetic programming to control of vehicle
systems. In Proceedings of the Intelligent Vehicles ’92 Symposium, 1992. June 29 -
July 1, 1992, Detroit, Mi, USA. GPBiB
P. Han, S. Zhou, and D. Wang. A multi-objective genetic programming/ NARMAX
approach to chaotic systems identification. In The Sixth World Congress on Intelligent
Control and Automation, WCICA 2006, volume 1, pages 1735–1739, Dalian, 2006.
IEEE. ISBN 1-4244-0332-4. GPBiB
S. Handley. On the use of a directed acyclic graph to represent a population of computer
programs. In Proceedings of the 1994 IEEE World Congress on Computational In-
telligence, volume 1, pages 154–159, Orlando, Florida, USA, 27-29 June 1994. IEEE
Press. GPBiB
S. Handley. Automatic learning of a detector for alpha-helices in protein sequences via
genetic programming. In S. Forrest, editor, Proceedings of the 5th International Confer-
ence on Genetic Algorithms, ICGA-93, pages 271–278, University of Illinois at Urbana-
Champaign, 17-21 July 1993. Morgan Kaufmann. GPBiB
J. V. Hansen. Genetic programming experiments with standard and homologous crossover
methods. Genetic Programming and Evolvable Machines, 4(1):53–66, March 2003.
ISSN 1389-2576. GPBiB
J. V. Hansen, P. B. Lowry, R. D. Meservy, and D. M. McDonald. Genetic programming
for prevention of cyberterrorism through dynamic and evolving intrusion detection. De-
cision Support Systems, 43(4):1362–1374, August 2007. Special Issue Clusters. GPBiB
S. Harding and W. Banzhaf. Fast genetic programming on GPUs. In M. Ebner, et al.,
editors, Proceedings of the 10th European Conference on Genetic Programming, vol-
ume 4445 of Lecture Notes in Computer Science, pages 90–101, Valencia, Spain, 11 -
13 April 2007. Springer. ISBN 3-540-71602-5. GPBiB
G. Harik. Linkage learning via probabilistic modeling in the ECGA. IlliGAL Report
99010, University of Illinois at Urbana-Champaign, 1999.
K. Harries and P. Smith. Exploring alternative operators and search strategies in genetic
programming. In J. R. Koza, et al., editors, Genetic Programming 1997: Proceedings
of the Second Annual Conference, pages 147–155, Stanford University, CA, USA, 13-
16 July 1997. Morgan Kaufmann. URL http://www.cs.ucl.ac.uk/staff/W.Langdon/
ftp/papers/harries.gp97_paper.ps.gz. GPBiB
G. G. Harrigan, R. H. LaPlante, G. N. Cosma, G. Cockerell, R. Goodacre, J. F. Maddox,
J. P. Luyendyk, P. E. Ganey, and R. A. Roth. Application of high-throughput fourier-
transform infrared spectroscopy in toxicology studies: contribution to a study on the
development of an animal model for idiosyncratic toxicity. Toxicology Letters, 146(3):
197–205, 2 February 2004. GPBiB
C. Harris and B. Buxton. GP-COM: A distributed, component-based genetic program-
ming system in C++. In J. R. Koza, et al., editors, Genetic Programming 1996:
Proceedings of the First Annual Conference, page 425, Stanford University, CA, USA,
28–31 July 1996. MIT Press. URL http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/
papers/gp96com.ps.gz. GPBiB
B. Harvey, J. Foster, and D. Frincke. Towards byte code genetic programming. In
W. Banzhaf, et al., editors, Proceedings of the Genetic and Evolutionary Computation
Conference, volume 2, page 1234, Orlando, Florida, USA, 13-17 July 1999. Morgan
Kaufmann. ISBN 1-55860-611-4. URL http://citeseer.ist.psu.edu/468509.html.
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100 1000 2
Avg Size Avg Fitness sin(x)
Best Fitness GP (gen=7)
90
1.5
80
1
70
100
0.5
60
Generation 7 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