Interior spatial layout with soft objectives using evolutionary computation

Interior spatial layout with soft objectives using evolutionary computation

Chatzikonstantinou, I. (TU Delft Design Informatics; Yasar University)
Bengisu, E. (Yasar University)

2016

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.

Evolutionary computation
Interior architecture
Interior space
Multi-objectivity
Perception

http://resolver.tudelft.nl/uuid:3aa56cce-21bb-495e-a054-02b600609ff1

https://doi.org/10.1109/CEC.2016.7744073

IEEE

978-1-5090-0622-9

Proceedings 2016 IEEE Congress on Evolutionary Computation (CEC)

2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016-07-24 → 2016-07-29, Vancouver, Canada

Accepted Author Manuscript

Institutional Repository

conference paper

© 2016 I. Chatzikonstantinou, E. Bengisu