Abstract
This paper proposes a first step towards multidisciplinary design of building spatial designs. Two criteria, total surface area (i.e. energy performance) and compliance (i.e. structural performance), are combined in a multicriteria optimisation framework. A new way of representing building spatial designs in a mixed integer parameter space is used within this framework. Two state-of-the-art algorithms, namely NSGA-II and SMS-EMOA, are used and compared to compute Pareto front approximations for problems of different size. Moreover, the paper discusses domain specific search operators, which are compared to generic operators, and techniques to handle constraints within the mutation. The results give first insights into the trade-off between energy and structural performance and the scalability of the approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
European Commission: Challenging and Changing Europes Built Environment: A Vision for a Sustainable and Competetive Construction Sector By 2030. European Construction Technology Platform (2005)
Liao, X., Li, Q., Yang, X., Zhang, W., Li, W.: Multiobjective optimization for crash safety design of vehicles using stepwise regression model. Struct. Multi. Optim. 35(6), 561–569 (2008)
van der Blom, K., Boonstra, S., Hofmeyer, H., Emmerich, M.T.M.: A super-structure based optimisation approach for building spatial designs. In: ECCOMAS 2016, 5–10 June, Greece (2016, accepted)
Boonstra, S., van der Blom, K., Hofmeyer, H., Amor, R., Emmerich, M.T.M.: Super-structure and super-structure free design search space representations for a building spatial design in multi-disciplinary building optimisation. In: EG-ICE 2016, 29 June–1 July, Poland (2016, accepted)
Martins, J.R., Lambe, A.B.: Multidisciplinary design optimization: a survey of architectures. AIAA J. 51(9), 2049–2075 (2013)
Eastman, C., Eastman, C.M., Teicholz, P., Sacks, R.: BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. Wiley, Hoboken (2011)
Palonen, M., Hamdy, M., Hasan, A.: MOBO a new software for multi-objective building performance optimization. In: Wurtz, E. (ed.) Proceedings of the 13th Internationcal Conference of the IBPSA, pp. 2567–2574. IBPSA c/o Miller-Thompson, Toronto (2013)
Hofmeyer, H., Davila Delgado, J.M.: Coevolutionary and genetic algorithm based building spatial and structural design. Artif. Intell. Eng. Des. Anal. Manuf. 29(04), 351–370 (2015)
Hopfe, C.J., Emmerich, M.T.M., Marijt, R., Hensen, J.L.M.: Robust multi-criteria design optimisation in building design. In: Proceedings of Building Simulation and Optimization, Loughborough, UK, pp. 19–26. IBPSA, England (2012)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)
Emmerich, M.T.M., Beume, N., Naujoks, B.: An EMO algorithm using the hypervolume measure as selection criterion. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 62–76. Springer, Heidelberg (2005)
Fonseca, C.M., da Fonseca, V.G., Paquete, L.: Exploring the performance of stochastic multiobjective optimisers with the second-order attainment function. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 250–264. Springer, Heidelberg (2005)
Acknowledgments
The authors gratefully acknowledge the financing of this project by the Dutch STW via project 13596 (Excellent Buildings via Forefront MDO, Lowest Energy Use, Optimal Spatial and Structural Performance).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
van der Blom, K., Boonstra, S., Hofmeyer, H., Emmerich, M.T.M. (2016). Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. In: Handl, J., Hart, E., Lewis, P., López-Ibáñez, M., Ochoa, G., Paechter, B. (eds) Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science(), vol 9921. Springer, Cham. https://doi.org/10.1007/978-3-319-45823-6_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-45823-6_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45822-9
Online ISBN: 978-3-319-45823-6
eBook Packages: Computer ScienceComputer Science (R0)