Application of artificial intelligence in sustainable building design - Optimisation methods

Ewa Gilner; Adam Galuszka; Tomasz Grychowski

doi:10.1109/MMAR.2019.8864698

Application of artificial intelligence in sustainable building design - Optimisation methods

Silesian University of Technology
Rolfe Judd Sp. z o.o.

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

15 Cytowania z bazy Scopus

Abstrakt

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 currently available and used in the AEC industry project tools, sustainable building design analysis 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. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

Język oryginału	angielski
Tytuł publikacji goszczącej	2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019
Wydawca	Institute of Electrical and Electronics Engineers Inc.
Strony	81-86
Liczba stron	6
ISBN (elektroniczny)	9781728109336
Identyfikatory DOI	https://doi.org/10.1109/MMAR.2019.8864698
Status publikacji	Opublikowano - sie 2019
Wydarzenie	24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 - Miedzyzdroje, Polska Czas trwania: 26 sie 2019 → 29 sie 2019

Seria publikacji

Nazwa	2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

Konferencja

Konferencja	24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019
Kraj/Terytorium	Polska
Miejscowość	Miedzyzdroje
Okres	26/08/19 → 29/08/19

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 12 Odpowiedzialne zużycie i produkcja

Obszary tematyczne ASJC Scopus

Sztuczna inteligencja
Sprzęt i architektura
Bezpieczeństwo, ryzyko, niezawodność i jakość
Sterowanie i optymalizacja
Modelowanie i symulacja

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10.1109/MMAR.2019.8864698

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Link do publikacji w Scopus

Cytowanie

Gilner, E., Galuszka, A., & Grychowski, T. (2019). Application of artificial intelligence in sustainable building design - Optimisation methods. W 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 (str. 81-86). Artykułu 8864698 (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMAR.2019.8864698

Gilner, Ewa ; Galuszka, Adam ; Grychowski, Tomasz. / Application of artificial intelligence in sustainable building design - Optimisation methods. 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. str. 81-86 (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019).

@inproceedings{e41b8c11a82f4d2a9493755207b10497,

title = "Application of artificial intelligence in sustainable building design - Optimisation methods",

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 currently available and used in the AEC industry project tools, sustainable building design analysis 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. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.",

keywords = "AEC managing tools, Architectural Design, Decision Making, Knowledge Based Engineering, Pareto Genetic Algorithms",

author = "Ewa Gilner and Adam Galuszka and Tomasz Grychowski",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 ; Conference date: 26-08-2019 Through 29-08-2019",

year = "2019",

month = aug,

doi = "10.1109/MMAR.2019.8864698",

language = "English",

series = "2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "81--86",

booktitle = "2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019",

address = "United States",

}

Gilner, E, Galuszka, A & Grychowski, T 2019, Application of artificial intelligence in sustainable building design - Optimisation methods. w 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019., 8864698, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, Institute of Electrical and Electronics Engineers Inc., str. 81-86, 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, Miedzyzdroje, Polska, 26/08/19. https://doi.org/10.1109/MMAR.2019.8864698

Application of artificial intelligence in sustainable building design - Optimisation methods. / Gilner, Ewa; Galuszka, Adam ; Grychowski, Tomasz.
2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. Institute of Electrical and Electronics Engineers Inc., 2019. str. 81-86 8864698 (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Application of artificial intelligence in sustainable building design - Optimisation methods

AU - Gilner, Ewa

AU - Galuszka, Adam

AU - Grychowski, Tomasz

PY - 2019/8

Y1 - 2019/8

N2 - 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 currently available and used in the AEC industry project tools, sustainable building design analysis 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. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

AB - 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 currently available and used in the AEC industry project tools, sustainable building design analysis 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. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

KW - AEC managing tools

KW - Architectural Design

KW - Decision Making

KW - Knowledge Based Engineering

KW - Pareto Genetic Algorithms

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U2 - 10.1109/MMAR.2019.8864698

DO - 10.1109/MMAR.2019.8864698

M3 - Conference contribution

AN - SCOPUS:85074226140

T3 - 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

SP - 81

EP - 86

BT - 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019

Y2 - 26 August 2019 through 29 August 2019

ER -

Gilner E, Galuszka A , Grychowski T. Application of artificial intelligence in sustainable building design - Optimisation methods. W 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019. Institute of Electrical and Electronics Engineers Inc. 2019. str. 81-86. 8864698. (2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019). doi: 10.1109/MMAR.2019.8864698

Application of artificial intelligence in sustainable building design - Optimisation methods

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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