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Desirability Functions in Multiresponse Optimization

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Optimization in the Natural Sciences (EmC-ONS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 499))

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Abstract

Desirability functions (DFs) play an increasing role for solving the optimization of process or product quality problems having various quality characteristics to obtain a good compromise between these characteristics. There are many alternative formulations to these functions and solution strategies suggested for handling their weaknesses and improving their strength. Although the DFs of Derringer and Suich are the most popular ones in multiple-response optimization literature, there is a limited number of solution strategies to their optimization which need to be updated with new research results obtained in the area of nonlinear optimization.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, METU, Ankara, Turkey

    Başak Akteke-Öztürk & Gülser Köksal

  2. Institute of Applied Mathematics, METU, Ankara, Turkey

    Gerhard-Wilhelm Weber

Authors
  1. Başak Akteke-Öztürk
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  2. Gerhard-Wilhelm Weber
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  3. Gülser Köksal
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Correspondence to Başak Akteke-Öztürk .

Editor information

Editors and Affiliations

  1. Dept. of Mathematics, University of Aveiro, Aveiro, Portugal

    Alexander Plakhov

  2. University of Aveiro, Aveiro, Portugal

    Tatiana Tchemisova

  3. University of Aveiro, Aveiro, Portugal

    Adelaide Freitas

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Akteke-Öztürk, B., Weber, GW., Köksal, G. (2015). Desirability Functions in Multiresponse Optimization. In: Plakhov, A., Tchemisova, T., Freitas, A. (eds) Optimization in the Natural Sciences. EmC-ONS 2014. Communications in Computer and Information Science, vol 499. Springer, Cham. https://doi.org/10.1007/978-3-319-20352-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-20352-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20351-5

  • Online ISBN: 978-3-319-20352-2

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