Multiobjective optimization of structure and visual qualities

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Kirk Martini: Multiobjective optimization of structure and visual qualities. In: Proceedings of the Symposium on Simulation for Architecture & Urban Design SimAUD '15, 182-188.

DOI

Abstract

The paper describes and demonstrates an optimization tool that combines methods developed independently in the fields of structural engineering and fine art. Optimization has a long history in structural engineering. Most commonly, structural optimization seeks a configuration that minimizes material volume, subject to constraints on strength and stiffness. Metaheuristic search methods, such as genetic algorithms, have been widely applied to structural optimization problems. Such methods have also been applied in the field of evolutionary art. This field seeks to produce aesthetic images or objects through an iterative search, guided by visual, rather than functional objectives. The paper presents the Variable Evolutionary Strategy for Pareto Optimization (Vespo), and demonstrates its use to integrate visual objective functions like those in evolutionary art with technical objective functions and constraints in structural optimization. The goal is to aid a designer in developing an efficient structure with desired visual qualities. The work is motivated in part by the prominent trend in contemporary architecture toward randomized, free-form structures.

Extended Abstract

Bibtex

@inproceedings{Martini:2015:MOS:2873021.2873046,

author = {Martini, Kirk},
title = {Multiobjective Optimization of Structure and Visual Qualities},
booktitle = {Proceedings of the Symposium on Simulation for Architecture \& Urban Design},
series = {SimAUD '15},
year = {2015},
isbn = {978-1-5108-0104-2},
location = {Alexandria, Virginia},
pages = {182--188},
numpages = {7},
url = {http://dl.acm.org/citation.cfm?id=2873021.2873046 https://www.researchgate.net/publication/282953590_Multiobjective_optimization_of_structure_and_visual_qualities http://de.evo-art.org/index.php?title=Multiobjective_optimization_of_structure_and_visual_qualities},
acmid = {2873046},
publisher = {Society for Computer Simulation International},
address = {San Diego, CA, USA},
keywords = {evolutionary art, optimization, structural design},

}

Used References

1 Arup (2014) "Columbia University Northwest Corner Building" Arup Group Limited. http://www.arup.com/Projects/Columbia_University_Northwest_Corner_Building/Details.aspx(accessed Oct 16, 2014).

2 Balling, R. J., Briggs, R. R., and Gillman, K. (2006)."Multiple optimum size/shape/topology designs for skeletal structures using a genetic algorithm." J. Struct. Eng., 132(7), 1158--1165.

3 Kalyanmoy Deb , Deb Kalyanmoy, Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons, Inc., New York, NY, 2001 http://dl.acm.org/citation.cfm?id=559152&CFID=558819604&CFTOKEN=68186175

4 E. den Heijer , A. E. Eiben, Maintaining population diversity in evolutionary art, Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, p.60-71, April 11-13, 2012, Málaga, Spain http://dx.doi.org/10.1007/978-3-642-29142-5_6

5 J. Felkner, E. Chatzi, T. Kotnik (2013) "Interactive particle swarm optimization for the architectural design of truss structures" Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Engineering Solutions, p 15--22.

6 Philip Galanter, The problem with evolutionary art is ..., Proceedings of the 2010 international conference on Applications of Evolutionary Computation, April 07-09, 2010, Istanbul, Turkey http://dx.doi.org/10.1007/978-3-642-12242-2_33

7 Grasshopper (2014) http://www.grasshopper3d.com/

8 O. Hasançebi , S. Çarbaş , E. Doğan , F. Erdal , M. P. Saka, Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures, Computers and Structures, v.87 n.5-6, p.284-302, March, 2009 http://dx.doi.org/10.1016/j.compstruc.2009.01.002

9 Karamba3D (2014) http://www.karamba3d.com/

10 McNeel (2014) Robert McNeel and Associates, http://www.rhino3d.com/

11 A. M. Raich , J. Ghaboussi, Evolving structural design solutions using an implicit redundant Genetic Algorithm, Structural and Multidisciplinary Optimization, v.20 n.3, p.222-231, November 2000 http://dx.doi.org/10.1007/s001580050150

12 M. Sasaki (2005) Flux Structure, TOTO.

13 K. Shea, J. Cagan (1997) "Innovative dome design: Applying geodesic patterns with shape annealing" Artificial Intelligence for Engineering Design, Analysis and Manufacturing 11, 379--394.

14 Peter von Buelow, Advantages Of Evolutionary Computation Used For Exploration In The Creative Design Process, Journal of Integrated Design & Process Science, v.11 n.3, p.5-18, August 2007

Links

Full Text

https://www.researchgate.net/publication/282953590_Multiobjective_optimization_of_structure_and_visual_qualities

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Sonstige Links

http://dl.acm.org/citation.cfm?id=2873046&CFID=558819604&CFTOKEN=68186175