Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-36955-1_14
Title: Decision chain encoding: Evolutionary design optimization with complex constraints
Authors: Janssen, P. 
Kaushik, V.
Keywords: constraints
decoding
encoding
evolutionary
multi-criteria optimization
Issue Date: 2013
Source: Janssen, P.,Kaushik, V. (2013). Decision chain encoding: Evolutionary design optimization with complex constraints. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7834 LNCS : 157-167. ScholarBank@NUS Repository. https://doi.org/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. © 2013 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/45478
ISBN: 9783642369544
ISSN: 03029743
DOI: 10.1007/978-3-642-36955-1_14
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