Genetic algorithms for construction management: the case study of a building envelope design optimization

Tiene, Sara (2017) Genetic algorithms for construction management: the case study of a building envelope design optimization. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria dei processi e dei sistemi edilizi [LM-DM270], Documento full-text non disponibile
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The present work deals with the study and analysis of the simultaneous optimization of time, cost and quality by using artificial intelligence technique; The approach is based on the use of genetic algorithms implemented in Matlab applied to a case study, the construction of a new University Campus in Cesena, focusing on the external walls of the building itself. The objective is to find a set of optimal solutions, equally valid, for the realization of stratigraphies of the different types of external masonry; It will then be the task of the designer to choose among possible solutions which he believes to be most appropriate, based on the requirements of the project, which may be in terms of quality, cost, time or a combination of two or more of these evaluation parameters. It will thus illustrate how different solutions provided by the program can be used and collected in a three-dimensional graph.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Tiene, Sara
Relatore della tesi
Correlatore della tesi
Corso di studio
Historic buildings rehabilitation
Ordinamento Cds
Parole chiave
Project management,Construction management,Time-Cost-Quality trade-off analysis,Genetic algorithms,Single-objective optimization,Multi-Objective optimization,External masonry,Matlab Implementation
Data di discussione della Tesi
16 Giugno 2017

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