Algorithm-based optimization is widely applied in many fields like industrial production, resulting in state-of-the-art workflows in the production process optimization. This project takes the cultural lag of conventional industrial architecture design as a motivation to investigate the implementation of algorithm-based optimization into traditional design processes. We argue that an enhanced way of architectural decision-making is possible. Current approaches use a translation of the whole design problem into a single, overly complicated optimization system. Contrary to that, this paper presents a novel workflow that defines precise design steps and applies optimizations only if suitable. Furthermore, this method can generate relevant results for factory planning design problems with contradicting factors, making it a promising approach for the complex challenges of i.e. resource-efficient building.


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    Title :

    Integration of Algorithm-Based Optimization into the Design Process of Industrial Buildings: A Case Study


    Contributors:
    Yuan, Philip F. (editor) / Chai, Hua (editor) / Yan, Chao (editor) / Leach, Neil (editor) / Konrad, Mirjam (author) / Saez, Dana (author) / Trautz, Martin (author)

    Conference:

    The International Conference on Computational Design and Robotic Fabrication ; 2021 ; Shanghai, China July 03, 2021 - July 04, 2021


    Published in:

    Publication date :

    2021-09-22


    Size :

    10 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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