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Multidisciplinary Optimization In Urban Services Management

Author

Listed:
  • George MOLDOVEANU

    (Academy of Economic Studies, Bucharest, Romania)

  • Oana ABALUTA

    (Academy of Economic Studies, Bucharest, Romania)

Abstract

Optimization methods may be applied to the services operations management. A comprehensive objective function (a cost-function to be minimized) leads to a multidisciplinary optimization, considering all aspects of a services business unit. However, this introduces a very large number of variables (examples with tens of thousands of variables are presented), making classical optimization methods inadequate. The paper introduces the use of genetic algorithms and illustrates it in one example: leisure services. Multidisciplinary optimizations may play a crucial role in the success of any services business, and genetic algorithms are the most adequate computation resource in this type of optimizations.

Suggested Citation

  • George MOLDOVEANU & Oana ABALUTA, 2009. "Multidisciplinary Optimization In Urban Services Management," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 4(10), pages 93-100, February.
    • Handle: RePEc:rom:terumm:v:4:y:2009:i:10:p:93-100
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    More about this item

    Keywords

    optimization; urban services management; total cost; risk; leisure services;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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