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== Bibtex ==  
 
== Bibtex ==  
 +
@incollection{
 +
year={2013},
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isbn={978-3-642-36954-4},
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booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
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volume={7834},
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series={Lecture Notes in Computer Science},
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editor={Machado, Penousal and McDermott, James and Carballal, Adrian},
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doi={10.1007/978-3-642-36955-1_14},
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title={Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints},
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url={http://dx.doi.org/10.1007/978-3-642-36955-1_14 },
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url={http://de.evo-art.org/index.php?title=Decision_Chain_Encoding:_Evolutionary_Design_Optimization_with_Complex_Constraints },
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publisher={Springer Berlin Heidelberg},
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keywords={evolutionary; multi-criteria optimization; constraints; encoding; decoding},
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author={Janssen, Patrick and Kaushik, Vignesh},
 +
pages={157-167},
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language={English}
 +
}
  
 
== Used References ==
 
== Used References ==

Version vom 31. Oktober 2015, 14:41 Uhr


Reference

Patrick Janssen, Vignesh Kaushik: Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints. In: EvoMUSART 2013, S. 157-167.

DOI

http://link.springer.com/10.1007/978-3-642-36955-1_14

Abstract

A novel encoding technique is presented that allows constraints to be easily handled in an intuitive way. The proposed encoding technique structures the genotype-phenotype mapping process as a sequential chain of decision points, where each decision point consists of a choice between alternative options. In order to demonstrate the feasibility of the decision chain encoding technique, a case-study is presented for the evolutionary optimization of the architectural design for a large residential building.

Extended Abstract

Bibtex

@incollection{
year={2013},
isbn={978-3-642-36954-4},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={7834},
series={Lecture Notes in Computer Science},
editor={Machado, Penousal and McDermott, James and Carballal, Adrian},
doi={10.1007/978-3-642-36955-1_14},
title={Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints},
url={http://dx.doi.org/10.1007/978-3-642-36955-1_14 },
url={http://de.evo-art.org/index.php?title=Decision_Chain_Encoding:_Evolutionary_Design_Optimization_with_Complex_Constraints },
publisher={Springer Berlin Heidelberg},
keywords={evolutionary; multi-criteria optimization; constraints; encoding; decoding},
author={Janssen, Patrick and Kaushik, Vignesh},
pages={157-167},
language={English}
}

Used References

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Frazer, J.H.: An Evolutionary Architecture. AA Publications, London, UK (1995)

Janssen, P.H.T.: A Design Method and a Computational Architecture for Generating and Evolving Building Designs. School of Design, Hong Kong Polytechnic University. Degree of Doctor of Philosophy (2004)

Janssen, P.H.T., Basol, C., Chen, K.W.: Evolutionary Developmental Design for Non-Programmers. In: Proceedings of 29th eCAADe Conference, Ljubljana (Slovenia) September 21-24, pp. 245-252 (2011)

Janssen, P.H.T., Chen, K.W.: Visual Dataflow Modelling: A Comparison of Three Systems. In: Proceedings of the CAAD Futures 2011, Liege, Belgium, July 4-8, pp. 801–816 (2011)

Janssen, P.H.T., Chen, K.W., Basol, C.: Iterative Virtual Prototyping: Performance Based Design Exploration. In: Proceedings of 29th eCAADe Conference, Ljubljana, Slovenia, September 21-24, pp. 253–260 (2011)

Janssen, P.H.T., Kaushik, V.: Iterative Refinement through Simulation: Exploring trade-offs between speed and accuracy. In: Proceedings of the 30th eCAADe Conference, Prague, Czech Republic, September 12-14, pp. 555–563 (2012)

Kumar, S., Bentley, P.J.: Computational embryology: Past, Present and Future. In: Ghosh, A., Tsutsui, S. (eds.) Advances in Evolutionary Computing: Theory and Applications, pp. 461–477. Springer, New York (2003)

Lagios, K., Niemasz, J., Reinhart, C.F.: Animated Building Performance Simulation (ABPS) – Linking Rhinoceros/Grasshopper with Radiance/Daysim. In: Proceedings of SimBuild, New York City (2010) OMA (2013), http://oma.eu/projects/2009/the-interlace

Toth, B., Salim, F., Frazer, J., Drogemuller, R., Burry, J., Burry, M.: Energy-oriented Design Tools for Collaboration in the Cloud. International Journal of Architectural Computing 4(9), 339–359 (2011)

Shea, K., Aish, R., Gourtovaia, M.: Towards Integrated Performance-Driven Generative Design Tools. Automation in Construction 14(2), 253–264 (2005)

Zitzler, E., Thiele, L.: Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol. 1498, pp. 292–301. Springer, Heidelberg (1998)

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