Cemre CubukcuogluPirouz NourianI. Sevil SariyildizM. Fatih TasgetirenNourian, PirouzTasgetiren, M. FatihSariyildiz, I. SevilCubukcuoglu, Cemre2025-10-0620220926-58051872-789110.1016/j.autcon.2021.1041022-s2.0-85124252399http://dx.doi.org/10.1016/j.autcon.2021.104102https://gcris.yasar.edu.tr/handle/123456789/7513https://doi.org/10.1016/j.autcon.2021.104102The paper proposes a generative design workflow for three major hospital layout planning steps to satisfy multiplex configurational requirements. The initial step is stacking through clustering functional spaces into floor plans for which a spectral method is presented. Subsequently a novel simultaneous process of zoning and routing is proposed as a Mixed-Integer Programming problem-solving task, performed on a quadrilateral mesh whose faces and edges are allocated respectively to the rooms and the corridors. The paper situates the workflow in the context of an Activity-Relations-Chart for a general hospital while demonstrating explaining and justifying the generated optimal floor plans. The conversion of the hospital layout problem to a Mixed-Integer Programming problem enables the use of existing Operations Research solvers allowing for the generation of optimal solutions in a digital design environment. The comprehensive problem formulation for a real-world scenario opens a new avenue for utilization of mathematical programming/optimization in healthcare design.Englishinfo:eu-repo/semantics/openAccessComputational design, Hospital design optimization, Layout planning, Corridor generation, Mixed integer programmingFACILITY LAYOUT PROBLEM, MIP-MODEL, PAIR REPRESENTATION, GENETIC ALGORITHM, FORMULATIONHospital Design OptimizationComputational DesignCorridor GenerationLayout PlanningMixed Integer ProgrammingArticle