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The Direct Synthesis of Optimal Design Solutions for Complex Systems

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Optimization in Industry
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Abstract

An essentially non-recursive approach to design optimisation is proposed. This provides for the direct synthesis of optimal design solutions of complex system implementations with multiple components, embodying different technologies, and with multiple levels of design hierarchy. The derivation and decomposition of comparative evaluation criteria and trade-off functions, using ’mathematical orders’ over the space of candidate systems, is explored in detail. The development of formal (systems-theoretic) theorems, and theorem proofs, are provided where necessary.

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References

  1. Ganter, B., Wille, R., “Formal Concept Analysis - Mathematical Foundations”, Springer-Verlag Pub., Berlin Heidelberg, 1999.

    MATH  Google Scholar 

  2. Gilb, T., “Quantifying The Qualitative: How To Avoid Vague Requirements”, 9th International Symposium, INCOSE, Brighton 1999, pp. 879 – 886.

    Google Scholar 

  3. Jenkins, G., M., “The Systems Approach”, in Systems Behaviour, Ed. by the Open Systems Group, The Open University, Paul Chapman Pub. Ltd., 1987.

    Google Scholar 

  4. Johnson, D., L., “Elements of Logic via Numbers and Sets”, Springer-Verlag Pub., London, 1998.

    Book  MATH  Google Scholar 

  5. Ludwig, L., Kokes, M., Biirgel, H., “Complexity Control By Fractal Specification (FraSp) - A Practicable Approach?”, 2nd European Systems Engineering Conference, INCOSE, Munich, September 2000, pp. 59 – 64.

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  6. Shell, A. D., “Function Based Design Of Complex, Complicated Systems”, 9th International Symposium, INCOSE, Brighton, England, June 1999.

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  7. Shell, A. D., “A System Theoretic Process For Efficient Design Of Optimal Systems”, 2nd European Systems Engineering Conference, INCOSE, Munich, Sept. 2000, pp. 165 – 176

    Google Scholar 

  8. Wymore, A. W., “Model-Based Systems Engineering”, CRC Press Inc., 1993.

    Google Scholar 

  9. Wymore, A. W., “Subsystem Optimization Implies System Suboptimization: Not!”, 1998. http://www.sie.arizona.edu/sysengr/wymore

    Google Scholar 

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© 2002 Springer-Verlag London Limited

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Shell, A.D. (2002). The Direct Synthesis of Optimal Design Solutions for Complex Systems. In: Parmee, I.C., Hajela, P. (eds) Optimization in Industry. Springer, London. https://doi.org/10.1007/978-1-4471-0675-3_15

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  • DOI: https://doi.org/10.1007/978-1-4471-0675-3_15

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-534-2

  • Online ISBN: 978-1-4471-0675-3

  • eBook Packages: Springer Book Archive

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