Cemre CubukcuogluIoannis ChatzikonstantinouI. Sevil SariyildizM. Fatih Tasgetiren2025-10-062015978147997492410.1109/CEC.2015.7257166https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963541510&doi=10.1109%2FCEC.2015.7257166&partnerID=40&md5=f7b5cddd6ad666389290586e47e3b540https://gcris.yasar.edu.tr/handle/123456789/9878This paper presents the results obtained by NSGA-II and DE on a restaurant layout optimization problem trying to maximize total profit while minimizing investment. The problem entails the configuration of restaurant functions the decisions regarding the restaurant shell composition (fraction and position of windows dimensions) and how to shape and place the kitchen and service areas. The NSGA-II and DE algorithms are implemented in a Parametric Design Environment that is familiar in the architectural practice. We demonstrate that the DE algorithm achieves slightly better performance in terms of hypervolume calculation and achieve promising results when the Pareto front approximation is examined. To the best of our knowledge this is the first application of multi-objective approach for restaurant design. © 2017 Elsevier B.V. All rights reserved.EnglishArchitectural Design, Evolutionary Algorithms, Layout Design, Multi-objective Optimization, Parametric Model, Pareto, Approximation Algorithms, Architectural Design, Calculations, Design, Multiobjective Optimization, Optimization, Parameter Estimation, Pareto Principle, De Algorithms, Layout Designs, Layout Optimization, Multi Objective, Parametric Design, Parametric Modeling, Pareto, Total Profits, Evolutionary AlgorithmsApproximation algorithms, Architectural design, Calculations, Design, Multiobjective optimization, Optimization, Parameter estimation, Pareto principle, DE algorithms, Layout designs, Layout optimization, Multi objective, Parametric design, Parametric modeling, pareto, Total profits, Evolutionary algorithmsConference Object