Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints

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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 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}
}

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