Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem

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Gülsün B., Miç P., Edalı M.

Sigma Journal of Engineering and Natural Sciences, vol.4, no.4, pp.63-78, 2022 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 4 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.14744/sigma.2022.00006
  • Journal Name: Sigma Journal of Engineering and Natural Sciences
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals
  • Page Numbers: pp.63-78
  • Keywords: lealthcare facility layout problem, Genetic algorithm, Quadratic programming, Quadratic Assignment Problem (QAP), Multi-objective facility layout problem, Hospital layout, HOSPITAL LAYOUT, DECISIONS, ALGORITHM
  • Yıldız Technical University Affiliated: Yes


Facility layout planning is an indispensable part of the manufacturing and service operations. In the literature, there are two main different approaches for the solution of facility layout problem: While the first one aims to minimize both total transportation and assignment costs in a quantitative way, the second one aims to maximize the closeness relationship in a more qualitative way. In this study, we use both of these approaches to model a multi-objective facility layout optimization problem depending on a Quadratic Assignment Problem (QAP) formulation.