Interior spatial layout with soft objectives using evolutionary computation

Ioannis Chatzikonstantinou, E. Bengisu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
54 Downloads (Pure)


This paper presents the design problem of furniture arrangement in a residential interior living space, and addresses it by means of evolutionary computation. Interior arrangement is an important and interesting problem that occurs commonly when designing living spaces. It entails determining the locations of interior elements such as tables, seating elements, projection screens etc., in order to satisfy objectives. Despite it's commonality, it is a challenging problem that entails mainly soft objectives, related to perception and ergonomics, as well as challenging constraints. This paper is an attempt to address this problem by means of Evolutionary Computation. We discuss the problem formulation focusing on perceptual aspects of the various elements of space. In particular, we formulate a three objective problem with the following objectives: Maximization of visual perception of openings to the outside, maximization of inter-person visual perception, from the seating places, and maximization of the 'openness' of space. We provide results from a comparison of two MOEAs, namely NSGA-II and HypE.

Original languageEnglish
Title of host publicationProceedings 2016 IEEE Congress on Evolutionary Computation (CEC)
ISBN (Electronic)978-1-5090-0622-9
Publication statusPublished - 2016
Event2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016


Conference2016 IEEE Congress on Evolutionary Computation, CEC 2016
Abbreviated titleCEC 2016

Bibliographical note

Accepted Author Manuscript


  • Evolutionary computation
  • Interior architecture
  • Interior space
  • Multi-objectivity
  • Perception


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