Genetic algorithm dose minimization for an operational layout.

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Description

In an effort to reduce the dose to operating technicians performing fixed-time procedures on encapsulated source material, a program has been developed to optimize the layout of workstations within a facility by use of a genetic algorithm. Taking into account the sources present at each station and the time required to complete each procedure, the program utilizes a point kernel dose calculation tool for dose estimates. The genetic algorithm driver employs the dose calculation code as a cost function to determine the optimal spatial arrangement of workstations to minimize the total worker dose.

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4 p.

Creation Information

McLawhorn, S. L. (Steve L.); Kornreich, D. E. (Drew E.) & Dudziak, Donald J. January 1, 2002.

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Description

In an effort to reduce the dose to operating technicians performing fixed-time procedures on encapsulated source material, a program has been developed to optimize the layout of workstations within a facility by use of a genetic algorithm. Taking into account the sources present at each station and the time required to complete each procedure, the program utilizes a point kernel dose calculation tool for dose estimates. The genetic algorithm driver employs the dose calculation code as a cost function to determine the optimal spatial arrangement of workstations to minimize the total worker dose.

Physical Description

4 p.

Source

  • Submitted to: April 2002 Radiation Protection and Shielding Division Topical Meetng in Santa Fe, New Mexico

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  • Report No.: LA-UR-02-0497
  • Report No.: LA-UR-02-497
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 975988
  • Archival Resource Key: ark:/67531/metadc933546

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • January 1, 2002

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

Description Last Updated

  • Dec. 9, 2016, 11:37 p.m.

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Citations, Rights, Re-Use

McLawhorn, S. L. (Steve L.); Kornreich, D. E. (Drew E.) & Dudziak, Donald J. Genetic algorithm dose minimization for an operational layout., article, January 1, 2002; United States. (digital.library.unt.edu/ark:/67531/metadc933546/: accessed December 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.