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Emergent Trends in Robotics and Intelligent Systems pp 341–350Cite as

Interactive Evolutionary Computation in Modelling User Preferences

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 316))

Abstract

The modelling of user preferences in many applications is very interesting and is one of the problems researched during the last year. We researched the possibilities of neural networks to predict user subjective preferences using human-machine cooperative systems that use Interactive Evolutionary Computation (IEC). In such systems a subjective preference (evaluation) is a response to a system generated proposals. We consider these preferences to present the relative discrete fitness function values. We showed that searching for a preferred solution can be accelerated and evaluation characteristics can be obtained quicker if the target fitness values are converted from relative values to absolute values. We described a formula for a conversion of relative fitness function values to absolute values in IEC algorithms. We used a recurrent neural network to predict user preferences on a problem of the most attractive font face. Our experiments showed a substantial improvement of the error of the neural network in testing phase when using absolute fitness function values.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Faculty of Science, Pavol Jozef Safarik University in Kosice, Jesenna 5, Kosice, Slovakia

    Miron Kuzma & Gabriela Andrejková

Authors
  1. Miron Kuzma
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  2. Gabriela Andrejková
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Corresponding author

Correspondence to Miron Kuzma .

Editor information

Editors and Affiliations

  1. Technical University of Kosice, Kosice, Slovakia

    Peter Sinčák

  2. School of Information Science and Technology, Chukyo University, Toyota, Japan

    Pitoyo Hartono

  3. Technical University of Kosice, Kosice, Slovakia

    Mária Virčíková

  4. Technical University of Kosice, Kosice, Slovakia

    Ján Vaščák

  5. Technical University of Kosice, Kosice, Slovakia

    Rudolf Jakša

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© 2015 Springer International Publishing Switzerland

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Kuzma, M., Andrejková, G. (2015). Interactive Evolutionary Computation in Modelling User Preferences. In: Sinčák, P., Hartono, P., Virčíková, M., Vaščák, J., Jakša, R. (eds) Emergent Trends in Robotics and Intelligent Systems. Advances in Intelligent Systems and Computing, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-319-10783-7_37

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  • DOI: https://doi.org/10.1007/978-3-319-10783-7_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10782-0

  • Online ISBN: 978-3-319-10783-7

  • eBook Packages: EngineeringEngineering (R0)

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