Analysing optimisation data for multicriteria building spatial design

Koen van der Blom, Sjonnie Boonstra, Herm Hofmeyer, Michael T.M. Emmerich

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
6 Downloads (Pure)

Abstract

Domain experts can benefit from optimisation simply by getting better solutions, or by obtaining knowledge about possible trade-offs from a Pareto front. However, just providing a better solution based on objective function values is often not sufficient. It is desirable for domain experts to understand design principles that lead to a better solution concerning different objectives. Such insights will help the domain expert to gain confidence in a solution provided by the optimiser. In this paper, the aim is to learn heuristic rules on building spatial design by data-mining multi-objective optimisation results. From the optimisation data a domain expert can gain new insights that can help engineers in the future; this is termed innovization. Originally used for applications in mechanical engineering, innovization is here applied for the first time for optimisation of building spatial designs with respect to thermal and structural performance.
Original languageEnglish
Title of host publicationEvolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, Proceedings
EditorsCarlos A. Coello Coello, Patrick Reed, Kalyanmoy Deb, Erik Goodman, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim
PublisherSpringer
Pages671-682
Number of pages12
ISBN (Print)978-3-030-12597-4
DOIs
Publication statusPublished - 2019
EventEvolutionary Multi-Criterion Optimization, 10th International Conference, (EMO2019) - East Lansing, United States
Duration: 10 Mar 201913 Mar 2019
https://commerce.cashnet.com/cashnetg/selfserve/EditItem.aspx?PC=3824-REG2&ItemCount=1

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11411
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEvolutionary Multi-Criterion Optimization, 10th International Conference, (EMO2019)
Abbreviated titleEMO2019
CountryUnited States
CityEast Lansing
Period10/03/1913/03/19
Internet address

Keywords

  • Building spatial design
  • Data analysis
  • Evolutionary algorithms
  • Mixed integer optimisation
  • Multicriteria optimisation

Fingerprint Dive into the research topics of 'Analysing optimisation data for multicriteria building spatial design'. Together they form a unique fingerprint.

Cite this