Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation

K. van der Blom, S. Boonstra, H. Hofmeyer, T. Bäck, M.T.M. Emmerich

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

7 Citaten (Scopus)
6 Downloads (Pure)

Samenvatting

In this paper solution approaches for solving the building spatial design optimisation problem for structural and energy performance are advanced on multiple fronts. A new initialisation operator is introduced to generate an unbiased initial population for a tailored version of SMS-EMOA with problem specific operators. Improvements to the mutation operator are proposed to eliminate bias and allow mutations consisting of multiple steps. Moreover, landscape analysis is applied in order to explore the landscape of both objectives and investigate the behaviour of the mutation operator. Parameter tuning is applied with the irace package and the Mixed Integer Evolution Strategy to find improved parameter settings and explore tuning with a relatively small number of expensive evaluations. Finally, the performances of the standard and tailored SMS-EMOA algorithms with tuned parameters are compared.

Originele taal-2Engels
Titel2017 IEEE Congress on Evolutionary Computation (CEC) Proceedings, June 5-8, 2017, Donostia - San Sebastián, Spain
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1803-1810
Aantal pagina's8
ISBN van elektronische versie9781509046010
ISBN van geprinte versie978-1-5090-4601-0
DOI's
StatusGepubliceerd - 5 jul 2017
Evenement2017 IEEE Congress on Evolutionary Computation (CEC2017) June 5-8, 2017, Donostia - San Sebastián, Spain - San Sebastian, Spanje
Duur: 5 jun 20178 jun 2017
http://www.cec2017.org/

Congres

Congres2017 IEEE Congress on Evolutionary Computation (CEC2017) June 5-8, 2017, Donostia - San Sebastián, Spain
Verkorte titelCEC2017
LandSpanje
StadSan Sebastian
Periode5/06/178/06/17
Internet adres

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