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Lookup NU author(s): Dr David Todd, Jonathan Scott, Emeritus Professor Pratyush Sen
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The complexity of an engineered system is usually directly related to its size. As the size of the system increases, the number of components, the level of interaction, the difficulty of management, and the effort required to optimise, all increase. This paper outlines a method, based on a systems approach, which uses the evolutionary computing technique of Genetic Algorithms to schedule and co-ordinate processes (jobs or activities) and resources within such complex systems toward multiple objectives. Copyright (C) 1998 IFAC.
Author(s): Todd DS, Scott JA, Sen P
Editor(s): Koussoulas, NT; Groumpos, PP
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 8th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems - Theory and Applications
Year of Conference: 1999
Pages: 277-282
Publisher: Pergamon Press
Library holdings: Search Newcastle University Library for this item
Series Title: Large Scale Systems: Theory and Applications
ISBN: 0080430341
