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GALO—Genetic Algorithm for Layout Optimization : a technical documentation for modellers and developers / Jonathan Lin, Wenbi Wang. : D68-2/139-2018E-PDF

"GALO (Genetic Algorithm for Layout Optimization) is a desktop application tool that uses a genetic algorithm to determine the optimal layout of a group of operators in a workplace. In GALO, a workplace is modelled as a rectangular grid that is comprised of many cells. Each cell is defined as an open workspace that can be assigned to an operator, a barrier that functions as a spatial obstruction, or an unassignable space that could not be designated as a workspace. An optimal layout is defined as the one that best supports inter-operator communication (or interaction). Communication requirements are modelled as weighted directional connections. For each workplace model, after inter-operator communication requirements are specified, GALO has the ability to generate the optimal layout configuration based on a genetic algorithm. This Reference Document provides an instruction guide for future users of the tool, and a technical documentation of the program for future software developers"--Abstract, page i.

Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.873994&sl=1

Renseignements sur la publication
Ministère/Organisme
  • Defence R&D Canada. Toronto Research Centre.
TitreGALO—Genetic Algorithm for Layout Optimization : a technical documentation for modellers and developers / Jonathan Lin, Wenbi Wang.
Titre de la série
  • Scientific report ; DRDC-RDDC-2018-D139
Type de publicationMonographie - Voir l'enregistrement principal
Langue[Anglais]
FormatTexte numérique
Document électronique
Note(s)
  • "Can unclassified."
  • Includes bibliographical references (page 23).
  • Includes abstract in French.
Information sur la publication
  • [Ottawa] : Defence Research and Development Canada = Recherche et développement pour la défense Canada, January 2019.
  • ©2019
Auteur / Contributeur
  • Lin, Jonathan, author.
  • Wang, Wenbi,1972-
Description1 online resource (iv, 24 pages, 2 unnumbered pages) : illustrations (some colour).
Numéro de catalogue
  • D68-2/139-2018E-PDF
Descripteurs
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