MIQP‐based Layout Design for Building Interiors

  • Wenming Wu
    University of Science and Technology of China China
  • Lubin Fan
    King Abdullah University of Science & Technology Saudi Arabia
  • Ligang Liu
    University of Science and Technology of China China
  • Peter Wonka
    King Abdullah University of Science & Technology Saudi Arabia

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<jats:title>Abstract</jats:title><jats:p>We propose a hierarchical framework for the generation of building interiors. Our solution is based on a mixed integer quadratic programming (MIQP) formulation. We parametrize a layout by polygons that are further decomposed into small rectangles. We identify important high‐level constraints, such as room size, room position, room adjacency, and the outline of the building, and formulate them in a way that is compatible with MIQP and the problem parametrization. We also propose a hierarchical framework to improve the scalability of the approach. We demonstrate that our algorithm can be used for residential building layouts and can be scaled up to large layouts such as office buildings, shopping malls, and supermarkets. We show that our method is faster by multiple orders of magnitude than previous methods.</jats:p>

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