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Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Building Space Optimization Algorithm Based on Multi-Agent

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342741,
        author={Zilin  He},
        title={Building Space Optimization Algorithm Based on Multi-Agent},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={multi-agent architectural space spatial optimization spatial utilization},
        doi={10.4108/eai.17-11-2023.2342741}
    }
    
  • Zilin He
    Year: 2024
    Building Space Optimization Algorithm Based on Multi-Agent
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342741
Zilin He1,*
  • 1: Shenyang Jianzhu University, Shenyang, 110000, Liaoning province, China
*Contact email: 1700239063@qq.com

Abstract

In the design of museum buildings, reasonable use of space plays a key role in the exhibition effect of the museum. However, due to space constraints, in the existing architectural design, it is often difficult to obtain a better display effect. In addition, in the design of museum buildings, how to make the audience more comfortable and convenient to appreciate the exhibits is also a key issue. This paper introduces the multi-agent technology into the optimization design of museum building space, and adopts a multi-agent based optimization method of museum building space. Through the experiment, it is found that the multi-agent based building space optimization design can improve the space utilization rate to 97.7%.

Keywords
multi-agent architectural space spatial optimization spatial utilization
Published
2024-01-23
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-11-2023.2342741
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