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== Bibtex ==  
 
== Bibtex ==  
 +
@incollection{
 +
year={2011},
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isbn={978-3-642-20519-4},
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booktitle={Applications of Evolutionary Computation},
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volume={6625},
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series={Lecture Notes in Computer Science},
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editor={Di Chio, Cecilia and Brabazon, Anthony and Di Caro, GianniA. and Drechsler, Rolf and Farooq, Muddassar and Grahl, Jörn and Greenfield, Gary and Prins, Christian and Romero, Juan and Squillero, Giovanni and Tarantino, Ernesto and Tettamanzi, AndreaG.B. and Urquhart, Neil and Uyar, A.Şima},
 +
doi={10.1007/978-3-642-20520-0_43},
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title={Merging Aesthetics with Functionality: An Interactive Genetic Algorithm Based on the Principle of Weighted Mutation},
 +
url={http://dx.doi.org/10.1007/978-3-642-20520-0_43 http://de.evo-art.org/index.php?title=Merging_Aesthetics_with_Functionality:_An_Interactive_Genetic_Algorithm_Based_on_the_Principle_of_Weighted_Mutation },
 +
publisher={Springer Berlin Heidelberg},
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keywords={Interactive Genetic Algorithm; Weighted Mutation; Human Evaluation; Algorithmic Design Control},
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author={Vouliouri, Eirini},
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pages={424-433},
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language={English}
 +
}
  
 
== Used References ==   
 
== Used References ==   

Aktuelle Version vom 1. November 2015, 22:52 Uhr


Reference

Vouliouri, Eirini: Merging Aesthetics with Functionality: An Interactive Genetic Algorithm Based on the Principle of Weighted Mutation. In: EvoMUSART 2011, S. 424-433.

DOI

http://link.springer.com/10.1007/978-3-642-20520-0_43

Abstract

This paper proposes an algorithm through which the development of computationally generated forms can be externally directed towards both functional objectives and intuitive design targets. More precisely, it presents a special version of Interactive Genetic Algorithm, which introduces Weighted Mutation as a method to support the long life of genes corresponding to favored phenotypic characteristics. At the same time, optimization processes towards operational goals are also enabled. A set of experiments is conducted on the case study of a building façade, which appears to provide a suitable means for the investigation of functional, as well as aesthetic issues. The results are positively assessed, since they prove that this new methodology broadens the capacities of standard Interactive Genetic Algorithms, shedding light on how a constructive human-machine relationship can benefit the design process.

Extended Abstract

Bibtex

@incollection{
year={2011},
isbn={978-3-642-20519-4},
booktitle={Applications of Evolutionary Computation},
volume={6625},
series={Lecture Notes in Computer Science},
editor={Di Chio, Cecilia and Brabazon, Anthony and Di Caro, GianniA. and Drechsler, Rolf and Farooq, Muddassar and Grahl, Jörn and Greenfield, Gary and Prins, Christian and Romero, Juan and Squillero, Giovanni and Tarantino, Ernesto and Tettamanzi, AndreaG.B. and Urquhart, Neil and Uyar, A.Şima},
doi={10.1007/978-3-642-20520-0_43},
title={Merging Aesthetics with Functionality: An Interactive Genetic Algorithm Based on the Principle of Weighted Mutation},
url={http://dx.doi.org/10.1007/978-3-642-20520-0_43 http://de.evo-art.org/index.php?title=Merging_Aesthetics_with_Functionality:_An_Interactive_Genetic_Algorithm_Based_on_the_Principle_of_Weighted_Mutation },
publisher={Springer Berlin Heidelberg},
keywords={Interactive Genetic Algorithm; Weighted Mutation; Human Evaluation; Algorithmic Design Control},
author={Vouliouri, Eirini},
pages={424-433},
language={English}
}

Used References

Baker, E., Seltzer, M.: Evolving Line Drawings. In: Proceedings of the Fifth International Conference on Genetic Algorithms, pp. 91–100. Morgan Kaufmann Publishers, San Francisco (1994)

Cho, S.-B.: Towards Creative Evolutionary Systems with Interactive Genetic Algorithm. In: Applied Intelligence, vol. 16, pp. 129–138. Kluwer Academic Publishers, Dordrecht (2002)

Dawkins, R.: The Blind Watchmaker. Longman Scientific and Technical, Harlow (1986)

Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)

Latham, W., Todd, S.: Evolutionary Arts and Computers. Academic Press Inc., Orlando (1994)

Prusinkiewicz, P., Lindenmayer, A.: The Algorithmic Beauty of Plants. Springer, New York (1978)

Sasaki, M.: Morphogenesis of Flux Structure. From the realization of Free 3D Forms by Architects to Evolving the Most Logical Structure by Computer Calculation. In: Sakamoto, T., Ferré, A.T. (eds.) From Control to Design. Parametric/Algorithmic Architecture, pp. 68–69. Actar, Barcelona (2007)

Sims, K.: Artificial Evolution for Computer Graphics. Computer Graphics 25(4), 319–328 (1991)

Torres, S.L., Sakamoto, Y.: Façade Design Optimization for Daylight with a Simple Genetic Algorithm. In: International Building Performance Simulation Association, pp. 1162–1167 (2007), http://www.ibpsa.org/proceedings/BS2007/p117_final.pdf


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