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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3935

Title: Genetic algorithms in optimal safety system design
Authors: Pattison, Rachel L.
Andrews, J.D.
Keywords: Optimization
Fault tree analysis
Binary decision diagrams
Genetic algorithms
Design
Issue Date: 1999
Publisher: © IMechE / Professional Engineering Publishing
Citation: PATTISON, R.L. and ANDREWS, J.D., 1999. Genetic algorithms in optimal safety system design. Proceedings of the Institution of Mechanical Engineers, Part E : Journal of Process Mechanical Engineering, 213 (3), pp.187-197 [DOI:10.1243/0954408991529924]
Abstract: This paper describes a design optimization scheme for systems that require a high likelihood of functioning on demand. For safety systems whose failure could result in loss of life it is imperative that the best use of the available resources is made and that a system which is optimal and not just adequate is produced.
Description: This article was published in the journal, Proceedings of the Institution of Mechanical Engineers, Part E : Journal of Process Mechanical Engineering [© IMechE] and is also available at: http://journals.pepublishing.com/content/119780
URI: https://dspace.lboro.ac.uk/2134/3935
ISSN: 0954-4089
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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