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Application of Artificial Intelligence Methods in Sustainable Building Design

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11619))

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Abstract

The need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. This work presents the subject of currently available and used in the AEC industry project tools and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. These methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself.

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Acknowledgment

This work was supported by the following Projects: Ministry of Science and Higher Education funds 10/DW/2017/01/1 for the first (Ewa Gilner) author. Institute of Automatic Control BK Grant 02/010/BK18/0102 (BK/200/Rau1/2018) in the year 2019 for the second (Adam Galuszka) and third (Tomasz Grychowski) author. The analysis has been performed with the use of IT infrastructure of GeCONiI Upper Silesian Centre for Computational Science and Engineering (NCBiR grant no POIG.02.03.01-24-099/13).

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Authors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Ewa Gilner, Adam Galuszka & Tomasz Grychowski

  2. Rolfe Judd Sp. z o.o., Podchorążych 1, 40-043, Katowice, Poland

    Ewa Gilner

Authors
  1. Ewa Gilner
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  2. Adam Galuszka
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  3. Tomasz Grychowski
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Corresponding author

Correspondence to Ewa Gilner .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Gilner, E., Galuszka, A., Grychowski, T. (2019). Application of Artificial Intelligence Methods in Sustainable Building Design. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_30

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  • DOI: https://doi.org/10.1007/978-3-030-24289-3_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24288-6

  • Online ISBN: 978-3-030-24289-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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