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Simulation by Repeated Optimisation

  • R. G. Coyle
Chapter
Part of the OR Essentials book series (ORESS)

Abstract

The problems of improving the performance of system dynamics models is briefly reviewed and it is suggested that dynamic optimisation offers some solutions to those difficulties. Since dynamic optimisation is relatively uncommon in OR, the basic theory is explained, attention is drawn to the weaknesses of the technique and the approach is illustrated by an example. The differences between unconstrained and constrained optimisation are explored and constrained optimisation, and the interpretation of its results, is illustrated by two cases. Finally, some summary thoughts are presented.

Keywords

System dynamics Policy design Heuristic optimisation 

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References

  1. 1.
    Winch GW (1977). Optimisation experiments with forecast bias. Dynamica 2: 000–000.Google Scholar
  2. 2.
    Coyle RG (1997). System dynamics at Bradford University. Sys Dynam Rev 13:311–321.CrossRefGoogle Scholar
  3. 3.
    Coyle RG (1985). The use of optimisation for policy design in a system dynamics model. Sys Dynam Rev 1: 81–91.CrossRefGoogle Scholar
  4. 4.
    Dangerfield B and Roberts C (1996). An overview of strategy and tactics in system dynamics optimisation. J Opl Res Soc 47: 405–423.Google Scholar
  5. 5.
    Coyle RG (1992). The optimisation of defence expenditure. Eur J Opl Res 56: 304–318.CrossRefGoogle Scholar
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    Wolstenholme EF (1990). System Enquiry. Chichester: John Wiley and Sons.Google Scholar
  7. 7.
    Coyle RG (1996). System Dynamics Modelling: A Practical Approach. London: Chapman and Hall.CrossRefGoogle Scholar
  8. 8.
    See the work cited in Reference 7 for a full discussion of dimensional analysis.Google Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • R. G. Coyle
    • 1
  1. 1.ShrivenhamUK

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