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Evolutionary Computation for Theatre Hall Acoustics

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Optimization in Industry

Part of the book series: Management and Industrial Engineering ((MINEN))

Abstract

Architectural design is a process that considers many objectives to satisfy. In general, these objectives are conflicting with each other. On the other hand, many design parameters are associated with these conflicting objectives, too. Therefore, architectural design is described as a complex task. To handle the complexity, computational optimization methods can be employed to investigate architectural design process in detail. This paper focuses on investigating Pareto -front solutions for theatre hall design using multi-objective evolutionary algorithms . To formulate the theatre hall acoustic design problem, we consider three objectives. Two objectives are minimization of both reverberation time, and total initial cost whereas the third objective is the maximization of seating capacity. In addition, several designs and acoustical performance constraints are defined. To tackle this problem, a multi-objective self-adaptive differential evolution algorithm (JDEMO) is proposed and compared with a well-known non-dominated sorting genetic algorithm -II (NSGA-II) from the literature. Computational results show that the proposed JDEMO algorithm achieves competitive results when compared to the NSGA-II.

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Author information

Authors and Affiliations

  1. Faculty of Architecture, Yasar University, Bornova, Turkey

    Cemre Cubukcuoglu & Berk Ekici

  2. Chair Design Informatics, TU Delft, The Netherlands

    Ayca Kirimtat & Berk Ekici

  3. International Logistics, Yasar University, Bornova, Turkey

    Fatih Tasgetiren

  4. Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    P. N. Suganthan

Authors
  1. Cemre Cubukcuoglu
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  2. Ayca Kirimtat
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  3. Berk Ekici
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  4. Fatih Tasgetiren
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  5. P. N. Suganthan
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Corresponding author

Correspondence to Fatih Tasgetiren .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai, India

    Shubhabrata Datta

  2. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

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Cubukcuoglu, C., Kirimtat, A., Ekici, B., Tasgetiren, F., Suganthan, P.N. (2019). Evolutionary Computation for Theatre Hall Acoustics. In: Datta, S., Davim, J. (eds) Optimization in Industry. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-01641-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-01641-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01640-1

  • Online ISBN: 978-3-030-01641-8

  • eBook Packages: EngineeringEngineering (R0)

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