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Nature Inspired Form Finding Strategies Assessment using Genetic Algorithms

dc.contributor.authorAntoniou, Dimitrios
dc.contributor.authorArtopoulos, Georgios
dc.contributor.authorBakas, Nikolaos
dc.contributor.authorLiassides, Ioakeim
dc.contributor.authorVarlagkas, Nikolaos
dc.contributor.authorGeorgiou, Giannis
dc.contributor.authorDemetriou, Katerina
dc.contributor.authorKaragiannidi, Savvolu
dc.description.abstractIn 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.sponsorshipIEEE Computer Society Association for Computing Machinery Special Interest Group on Computer Architecture - ACM SIGARCHen_UK
dc.publisherIEEE Computer Societyen_UK
dc.relation.ispartofseries2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC);Limassol, Cyprus
dc.rights© Copyright 2015 IEEEen_UK
dc.subjectform findingen_UK
dc.subjectgenetic algorithmsen_UK
dc.subjectnatured inspireden_UK
dc.subjectparametric designen_UK
dc.subjectstructural analysisen_UK
dc.titleNature Inspired Form Finding Strategies Assessment using Genetic Algorithmsen_UK
dc.typeWorking Paperen_UK

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