Multi-objective optimization through differential evolution for restaurant design

This paper presents the results obtained by NSGA-II and jDEMO on a restaurant design optimization in the conceptual phase. A multi-objective problem is formulated by considering the minimization of investment and the maximization of customer count and maximization of visual perception, subject to se...

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Veröffentlicht in:	2016 IEEE Congress on Evolutionary Computation (CEC) S. 2288 - 2295
Hauptverfasser:	Cubukcuoglu, Cemre, Chatzikonstantinou, Ioannis, Ekici, Berk, Sariyildiz, Sevil, Tasgetiren, M. Fatih
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2016
Schlagworte:	Algorithm design and analysis computational design Evolutionary computation Investment multi-objective optimization Optimization performance-based design restaurant optimization Sociology Statistics Visualization
Online-Zugang:	Volltext
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