dc.contributor.author | Antoniou, Dimitrios | |
dc.contributor.author | Artopoulos, Georgios | |
dc.contributor.author | Bakas, Nikolaos | |
dc.contributor.author | Liassides, Ioakeim | |
dc.contributor.author | Varlagkas, Nikolaos | |
dc.contributor.author | Georgiou, Giannis | |
dc.contributor.author | Demetriou, Katerina | |
dc.contributor.author | Karagiannidi, Savvolu | |
dc.date.accessioned | 2015-12-16T10:19:34Z | |
dc.date.available | 2015-12-16T10:19:34Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://hdl.handle.net/11728/6655 | |
dc.description.abstract | In this work, several topology generation procedures have been implemented on architectural surfaces combined with urban forms. Delaunay triangulation, Voronoi diagrams and the recently proposed [1, 2, 3] Voronax diagram, assessed in terms of nature adaptive forms. This is achieved using structural analysis criteria such as mean and maximum compressive stresses in each step of the optimization procedure. The methodology is based on a robust genetic algorithm [4] connected with structural analysis software [5] and form finding code, while their interconnection establishes the proposed framework for generative solution of form finding complexities. Several general three and two dimensional artifacts have been analyzed and designed using the proposed methodology. The suggested approach and the results achieved constitutes a novel framework for such issues. | en_UK |
dc.description.sponsorship | IEEE Computer Society
Association for Computing Machinery Special Interest Group on Computer Architecture - ACM SIGARCH | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | IEEE Computer Society | en_UK |
dc.relation.ispartofseries | 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC);Limassol, Cyprus | |
dc.rights | © Copyright 2015 IEEE | en_UK |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.subject | form finding | en_UK |
dc.subject | genetic algorithms | en_UK |
dc.subject | voronoi | en_UK |
dc.subject | voronax | en_UK |
dc.subject | natured inspired | en_UK |
dc.subject | parametric design | en_UK |
dc.subject | structural analysis | en_UK |
dc.title | Nature Inspired Form Finding Strategies Assessment using Genetic Algorithms | en_UK |
dc.type | Working Paper | en_UK |