2015 IEEE Congress on Evolutionary Computation (CEC) 2015
DOI: 10.1109/cec.2015.7257166
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Evolutionary computation for architectural design of restaurant layouts

Abstract: This 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 pract… Show more

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Cited by 8 publications
(2 citation statements)
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“…A less number of papers use other techniques, like artificial neural networks. is contrasts with the substantial number of papers related to architectural design using genetic algorithms [86][87][88][89][90][91][92][93]. You can read more about it in a state of the art that we have previously made [94].…”
Section: Khawaldah Et Al [58]mentioning
confidence: 99%
“…A less number of papers use other techniques, like artificial neural networks. is contrasts with the substantial number of papers related to architectural design using genetic algorithms [86][87][88][89][90][91][92][93]. You can read more about it in a state of the art that we have previously made [94].…”
Section: Khawaldah Et Al [58]mentioning
confidence: 99%
“…Extensive scholarly discourse has been dedicated to the analysis of spatial layout and business space, with the food and beverage sector receiving significant attention [2,3,[27][28][29][30][31]. The present study adopts the standards delineated by the Ministry of Tourism and Creative Economy, specifically the Tourism Business Standard, as a benchmark for the appraisal of business conditions within this focal industry.…”
Section: Introductionmentioning
confidence: 99%