- author = "Sara Pozzi and Javier Segovia",
- title = "Evaluations of Genetic Programming and Neural Networks Techniques for Nuclear Material Identification",
- pages = "590--596",
- year = "2000",
- publisher = "Morgan Kaufmann",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)",
- editor = "Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
- address = "Las Vegas, Nevada, USA",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "10-12 " # jul,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "1-55860-708-0",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2000/RW225.pdf",
-
abstract = "Nuclear materials safeguard efforts necessitate the
use of non-destructive methods to determine the
attributes of fissile samples enclosed in special,
non-accessible containers. To this end, a large variety
of methods has been developed. Usually, a given set of
statistics of the stochastic neutron-photon coupled
field, such as sourcedetector, detector-detector cross
correlation functions, and multiplicities are measured
over a range of known samples to develop calibration
algorithms. In this manner, the attributes of unknown
samples can be inferred by the use of the calibration
results.
The sample identification problem, in its most general setting, is then to determine the relationship between the observed features of the measurement and the sample attributes and to combine them for the construction of an optimal identification algorithm. The goal of this paper is to compare a combination of genetic algorithms and neural networks (NN) with genetic programming (GP) for this purpose. To this end, the time-dependent MCNP-DSP Monte Carlo code has been used to simulate the neutron-photon interrogation of sets of uranium metal samples by a 252Cf-source. The resulting sets of source-detector correlation functions, R12(? ) as a function of the time delay, ? , served as a data-base for the training and testing of the algorithms.",
- notes = "A joint meeting of the ninth International Conference on Genetic Algorithms (ICGA-2000) and the fifth Annual Genetic Programming Conference (GP-2000) Part of \cite{whitley:2000:GECCO}",
