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Title: Genetic Algorithms: A New Method for Neutron Beam Spectral Characterization

Abstract

A revolutionary new concept for solving the neutron spectrum unfolding problem using genetic algorithms (GAs) has recently been introduced. GAs are part of a new field of evolutionary solution techniques that mimic living systems with computer-simulated chromosome solutions that mate, mutate, and evolve to create improved solutions. The original motivation for the research was to improve spectral characterization of neutron beams associated with boron neutron capture therapy (BNCT). The GA unfolding technique has been successfully applied to problems with moderate energy resolution (up to 47 energy groups). Initial research indicates that the GA unfolding technique may well be superior to popular unfolding methods in common use. Research now under way at Kansas State University is focused on optimizing the unfolding algorithm and expanding its energy resolution to unfold detailed beam spectra based on multiple foil measurements. Indications are that the final code will significantly outperform current, state-of-the-art codes in use by the scientific community.

Authors:
Publication Date:
Research Org.:
Kansas State University, Manhattan, KS (US)
Sponsoring Org.:
none (US)
OSTI Identifier:
786188
Report Number(s):
ISSN 0003-018X; CODEN TANSAO
ISSN 0003-018X; CODEN TANSAO; TRN: US0109305
Resource Type:
Conference
Resource Relation:
Conference: 2000 Annual Meeting, San Diego, CA (US), 06/04/2000--06/08/2000; Other Information: Transactions of the American Nuclear Society, Volume 82; PBD: 4 Jun 2000
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; SPECTRA UNFOLDING; ALGORITHMS; BORON; ENERGY RESOLUTION; NEUTRON BEAMS; NEUTRON CAPTURE THERAPY; OPTIMIZATION

Citation Formats

David W. Freeman. Genetic Algorithms: A New Method for Neutron Beam Spectral Characterization. United States: N. p., 2000. Web.
David W. Freeman. Genetic Algorithms: A New Method for Neutron Beam Spectral Characterization. United States.
David W. Freeman. Sun . "Genetic Algorithms: A New Method for Neutron Beam Spectral Characterization". United States.
@article{osti_786188,
title = {Genetic Algorithms: A New Method for Neutron Beam Spectral Characterization},
author = {David W. Freeman},
abstractNote = {A revolutionary new concept for solving the neutron spectrum unfolding problem using genetic algorithms (GAs) has recently been introduced. GAs are part of a new field of evolutionary solution techniques that mimic living systems with computer-simulated chromosome solutions that mate, mutate, and evolve to create improved solutions. The original motivation for the research was to improve spectral characterization of neutron beams associated with boron neutron capture therapy (BNCT). The GA unfolding technique has been successfully applied to problems with moderate energy resolution (up to 47 energy groups). Initial research indicates that the GA unfolding technique may well be superior to popular unfolding methods in common use. Research now under way at Kansas State University is focused on optimizing the unfolding algorithm and expanding its energy resolution to unfold detailed beam spectra based on multiple foil measurements. Indications are that the final code will significantly outperform current, state-of-the-art codes in use by the scientific community.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {6}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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