Page 193 - 49A Field Guide to Genetic Programming
P. 193
BIBLIOGRAPHY 179
S. E. Eklund. A massively parallel architecture for distributed genetic algorithms. Parallel
Computing, 30(5-6):647–676, 2004. URL http://www.sciencedirect.com/science/
article/B6V12-4CDS49V-1/2/5ba1531eae2c9d8b336f1e90cc0ba5e9. GPBiB
D. I. Ellis, D. Broadhurst, and R. Goodacre. Rapid and quantitative detection of the mi-
crobial spoilage of beef by fourier transform infrared spectroscopy and machine learn-
ing. Analytica Chimica Acta, 514(2):193–201, 2004. URL http://dbkgroup.org/dave_
files/ACAbeef04.pdf. GPBiB
D. I. Ellis, D. Broadhurst, D. B. Kell, J. J. Rowland, and R. Goodacre. Rapid and
quantitative detection of the microbial spoilage of meat by fourier transform infrared
spectroscopy and machine learning. Applied and Environmental Microbiology, 68(6):
2822–2828, June 2002. URL http://dbkgroup.org/Papers/app_%20env_microbiol_
68_(2822).pdf. GPBiB
R. Eriksson and B. Olsson. Adapting genetic regulatory models by genetic programming.
Biosystems, 76(1-3):217–227, 2004. URL http://www.sciencedirect.com/science/
article/B6T2K-4D09KY2-7/2/1abfe196bb4afc60afc3311cadb75d66. GPBiB
A. I. Esparcia-Alcazar and K. C. Sharman. Genetic programming techniques that evolve
recurrent neural networks architectures for signal processing. In IEEE Workshop on
Neural Networks for Signal Processing, Seiko, Kyoto, Japan, September 1996. GPBiB
C. Evans, P. J. Fleming, D. C. Hill, J. P. Norton, I. Pratt, D. Rees,
and K. Rodriguez-Vazquez. Application of system identification techniques
to aircraft gas turbine engines. Control Engineering Practice, 9(2):135–148,
2001. URL http://www.sciencedirect.com/science/article/B6V2H-4280YP2-3/1/
24d44180070f91dea854032d98f9187a. GPBiB
F. Federman, G. Sparkman, and S. Watt. Representation of music in a learning classifier
system utilizing bach chorales. In W. Banzhaf, et al., editors, Proceedings of the
Genetic and Evolutionary Computation Conference, volume 1, page 785, Orlando,
Florida, USA, 13-17 July 1999. Morgan Kaufmann. ISBN 1-55860-611-4.
M. J. Felton. Survival of the fittest in drug design. Modern Drug Discovery, 3(9):49–50,
November/December 2000. ISSN 1532-4486. URL http://pubs.acs.org/subscribe/
journals/mdd/v03/i09/html/felton.html. GPBiB
F. Fernandez, J. M. Sanchez, M. Tomassini, and J. A. Gomez. A parallel genetic pro-
gramming tool based on PVM. In J. Dongarra, et al., editors, Recent Advances in
Parallel Virtual Machine and Message Passing Interface, Proceedings of the 6th Eu-
ropean PVM/MPI Users’ Group Meeting, volume 1697 of Lecture Notes in Computer
Science, pages 241–248, Barcelona, Spain, September 1999. Springer-Verlag. ISBN
3-540-66549-8. GPBiB
F. Fernandez, M. Tomassini, and L. Vanneschi. An empirical study of multipopulation ge-
netic programming. Genetic Programming and Evolvable Machines, 4(1):21–51, March
2003. ISSN 1389-2576. GPBiB
G. Folino, C. Pizzuti, and G. Spezzano. A scalable cellular implementation of parallel
genetic programming. IEEE Transactions on Evolutionary Computation, 7(1):37–53,
February 2003. GPBiB
J. A. Foster. Review: Discipulus: A commercial genetic programming system. Genetic
Programming and Evolvable Machines, 2(2):201–203, June 2001. ISSN 1389-2576.
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100 1000 2
Avg Size Avg Fitness sin(x)
Best Fitness GP (gen=5)
90
1.5
80
1
70
100
0.5
60
Generation 5 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