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EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts

  • Conference paper
Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11453))

Abstract

Computational Intelligence (CI) has proven its artistry in creation of music, graphics, and drawings. EvoChef demonstrates the creativity of CI in artificial evolution of culinary arts. EvoChef takes input from well-rated recipes of different cuisines and evolves new recipes by recombining the instructions, spices, and ingredients. Each recipe is represented as a property graph containing ingredients, their status, spices, and cooking instructions. These recipes are evolved using recombination and mutation operators. The expert opinion (user ratings) has been used as the fitness function for the evolved recipes. It was observed that the overall fitness of the recipes improved with the number of generations and almost all the resulting recipes were found to be conceptually correct. We also conducted a blind-comparison of the original recipes with the EvoChef recipes and the EvoChef was rated to be more innovative. To the best of our knowledge, EvoChef is the first semi-automated, open source, and valid recipe generator that creates easy to follow, and novel recipes.

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Notes

  1. 1.

    https://github.com/SmartDataAnalytics/EvoChef.

  2. 2.

    https://daljiblog.wordpress.com/2016/11/30/how-chef-watson-calculates-deliciousness/.

  3. 3.

    http://www.ibmchefwatson.com.

  4. 4.

    http://www.machinegeneratedrecipes.de.

  5. 5.

    www.machinegeneratedrecipes.de.

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Acknowledgement

This work is partly supported by the EU Horizon2020 projects BigDataOcean (GA no. 732310), LAMBDA (GA no. 809965) and Boost4.0 (GA no. 780732).

Author information

Authors and Affiliations

  1. Informatik III, University of Bonn, Bonn, Germany

    Hajira Jabeen, Nargis Tahara & Jens Lehmann

  2. Fraunhofer IAIS, Sankt Augustin, Germany

    Jens Lehmann

Authors
  1. Hajira Jabeen
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  2. Nargis Tahara
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  3. Jens Lehmann
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Corresponding author

Correspondence to Hajira Jabeen .

Editor information

Editors and Affiliations

  1. Aston University, Birmingham, UK

    Anikó Ekárt

  2. University of Malta, Msida, Malta

    Antonios Liapis

  3. University of A Coruña, A Coruña, Spain

    María Luz Castro Pena

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© 2019 Springer Nature Switzerland AG

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Jabeen, H., Tahara, N., Lehmann, J. (2019). EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts. In: Ekárt, A., Liapis, A., Castro Pena, M.L. (eds) Computational Intelligence in Music, Sound, Art and Design. EvoMUSART 2019. Lecture Notes in Computer Science(), vol 11453. Springer, Cham. https://doi.org/10.1007/978-3-030-16667-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-16667-0_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-16666-3

  • Online ISBN: 978-3-030-16667-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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