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|Title:||Decision chain encoding: Evolutionary design optimization with complex constraints||Authors:||Janssen, P.
|Issue Date:||2013||Citation:||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|
|Appears in Collections:||Staff Publications|
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