00000nam 2200000zi 4500 9.873994 CaOODSP 20221107164055 m o d f cr |n||||||||| 190530t20192019onca o f000 0 eng d CaOODSP eng rda CaOODSP eng fre n-cn--- D68-2/139-2018E-PDF Lin, Jonathan, author. GALO—Genetic Algorithm for Layout Optimization : a technical documentation for modellers and developers / Jonathan Lin, Wenbi Wang. [Ottawa] : Defence Research and Development Canada = Recherche et développement pour la défense Canada, January 2019. ©2019 1 online resource (iv, 24 pages, 2 unnumbered pages) : illustrations (some colour). text txt rdacontent computer c rdamedia online resource cr rdacarrier Scientific report ; DRDC-RDDC-2018-D139 "Can unclassified." Includes bibliographical references (page 23). "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. Includes abstract in French. gccst Military technology Genetic Algorithm for Layout Optimization GALO Wang, Wenbi, 1972- Defence R&D Canada. Toronto Research Centre. Scientific report (Defence R&D Canada) DRDC-RDDC-2018-D139. (CaOODSP)9.802305 PDF 1.88 MB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-2-139-2018-eng.pdf