Page 233 - 49A Field Guide to Genetic Programming
P. 233
BIBLIOGRAPHY 219
I. G. Tsoulos and I. E. Lagaris. Genanneal: Genetically modified simulated annealing.
Computer Physics Communications, 174(10):846–851, 15 May 2006. GPBiB
A. M. Turing. Intelligent machinery. Report for National Physical Laboratory. Reprinted
in Ince, D. C. (editor). 1992. Mechanical Intelligence: Collected Works of A. M. Turing.
Amsterdam: North Holland. Pages 107127. Also reprinted in Meltzer, B. and Michie,
D. (editors). 1969. Machine Intelligence 5. Edinburgh: Edinburgh University Press,
1948.
A. M. Turing. Computing machinery and intelligence. Mind, 49:433–460, January 01
1950. URL http://www.cs.umbc.edu/471/papers/turing.pdf. GPBiB
I. Usman, A. Khan, R. Chamlawi, and A. Majid. Image authenticity and perceptual
optimization via genetic algorithm and a dependence neighborhood. International
Journal of Applied Mathematics and Computer Sciences, 4(1):615–620, 2007. ISSN
1305-5313. URL http://www.waset.org/ijamcs/v4/v4-1-7.pdf. GPBiB
S. Vaidyanathan, D. I. Broadhurst, D. B. Kell, and R. Goodacre. Explanatory optimiza-
tion of protein mass spectrometry via genetic search. Analytical Chemistry, 75(23):
6679–6686, 2003. URL http://dbkgroup.org/Papers/AnalChem75(6679-6686).pdf.
GPBiB
J. J. Valdes and A. J. Barton. Virtual reality visual data mining via neural networks
obtained from multi-objective evolutionary optimization: Application to geophysical
prospecting. In International Joint Conference on Neural Networks, IJCNN’06, pages
4862–4869, Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, 16-21
July 2006. IEEE. GPBiB
V. Venkatraman, A. R. Dalby, and Z. R. Yang. Evaluation of mutual information and
genetic programming for feature selection in QSAR. Journal of Chemical Information
and Modeling, 44(5):1686–1692, 2004. GPBiB
B. Vowk, A. S. Wait, and C. Schmidt. An evolutionary approach generates human com-
petitive coreware programs. In M. Bedau, et al., editors, Workshop and Tutorial Pro-
ceedings Ninth International Conference on the Simulation and Synthesis of Living
Systems(Alife XI), pages 33–36, Boston, Massachusetts, 12 September 2004. Artificial
Chemistry and its applications workshop. GPBiB
I. Vukusic, S. N. Grellscheid, and T. Wiehe. Applying genetic programming to the pre-
diction of alternative mRNA splice variants. Genomics, 89(4):471–479, April 2007.
GPBiB
R. L. Walker. Search engine case study: searching the web using ge-
netic programming and MPI. Parallel Computing, 27(1-2):71–89, January
2001. URL http://www.sciencedirect.com/science/article/B6V12-42K5HNX-4/1/
57eb870c72fb7768bb7d824557444b72. GPBiB
P. Walsh and C. Ryan. Paragen: A novel technique for the autoparallelisation of se-
quential programs using genetic programming. In J. R. Koza, et al., editors, Ge-
netic Programming 1996: Proceedings of the First Annual Conference, pages 406–
409, Stanford University, CA, USA, 28–31 July 1996. MIT Press. URL http:
//cognet.mit.edu/library/books/view?isbn=0262611279. GPBiB
D. C. Weaver. Applying data mining techniques to library design, lead genera-
tion and lead optimization. Current Opinion in Chemical Biology, 8(3):264–270,
2004. URL http://www.sciencedirect.com/science/article/B6VRX-4CB69R1-2/2/
84a354cec9064ed07baab6a07998c942. GPBiB
100 1000 2
Avg Size Avg Fitness sin(x)
Best Fitness GP (gen=71)
90
1.5
80
1
70
100
0.5
60
Generation 71 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