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040 |aCaOODSP|beng|erda|cCaOODSP
041 |aeng|bfre
043 |an-cn---
0861 |aD68-2/139-2018E-PDF
1001 |aLin, Jonathan, |eauthor.
24510|aGALO—Genetic Algorithm for Layout Optimization : |ba technical documentation for modellers and developers / |cJonathan Lin, Wenbi Wang.
264 1|a[Ottawa] : |bDefence Research and Development Canada = Recherche et développement pour la défense Canada, |cJanuary 2019.
264 4|c©2019
300 |a1 online resource (iv, 24 pages, 2 unnumbered pages) : |billustrations (some colour).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aScientific report ; |vDRDC-RDDC-2018-D139
500 |a"Can unclassified."
504 |aIncludes bibliographical references (page 23).
5203 |a"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.
546 |aIncludes abstract in French.
69207|2gccst|aMilitary technology
693 4|aGenetic Algorithm for Layout Optimization
693 4|aGALO
7001 |aWang, Wenbi,|d1972-
7102 |aDefence R&D Canada. |bToronto Research Centre.
830#0|aScientific report (Defence R&D Canada)|vDRDC-RDDC-2018-D139.|w(CaOODSP)9.802305
85640|qPDF|s1.88 MB|uhttps://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-2-139-2018-eng.pdf