Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation
Autor: | Sjonnie Boonstra, Michael Emmerich, Thomas Bäck, H Herm Hofmeyer, Koen van der Blom |
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Přispěvatelé: | Applied Mechanics and Design |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Mathematical optimization
education.field_of_study Small number Population 0211 other engineering and technologies Evolutionary algorithm Spatial design 02 engineering and technology Operator (computer programming) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm design Evolution strategy education 021106 design practice & management Integer (computer science) |
Zdroj: | CEC 2017 IEEE Congress on Evolutionary Computation (CEC) Proceedings, June 5-8, 2017, Donostia-San Sebastián, Spain, 1803-1810 STARTPAGE=1803;ENDPAGE=1810;TITLE=2017 IEEE Congress on Evolutionary Computation (CEC) Proceedings, June 5-8, 2017, Donostia-San Sebastián, Spain |
Popis: | 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. |
Databáze: | OpenAIRE |
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