GALO—Genetic Algorithm for Layout Optimization – A technical documentation for modellers and developers

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Authors
  1. Lin, J.
  2. Wang, W.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN)
Abstract
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.

Il y a un résumé en français ici.

Keywords
Workplace layout;Genetic Algorithm;modelling and simulation
Report Number
DRDC-RDDC-2018-D139 — Reference Document
Date of publication
01 Jan 2019
Number of Pages
28
DSTKIM No
CA048594
CANDIS No
809270
Format(s):
Electronic Document(PDF)

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