Print Email Facebook Twitter Interior spatial layout with soft objectives using evolutionary computation Title Interior spatial layout with soft objectives using evolutionary computation Author Chatzikonstantinou, I. (TU Delft Design Informatics; Yasar University) Bengisu, E. (Yasar University) Date 2016 Abstract 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. Subject Evolutionary computationInterior architectureInterior spaceMulti-objectivityPerception To reference this document use: http://resolver.tudelft.nl/uuid:3aa56cce-21bb-495e-a054-02b600609ff1 DOI https://doi.org/10.1109/CEC.2016.7744073 Publisher IEEE ISBN 978-1-5090-0622-9 Source Proceedings 2016 IEEE Congress on Evolutionary Computation (CEC) Event 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 2016-07-24 → 2016-07-29, Vancouver, Canada Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2016 I. Chatzikonstantinou, E. Bengisu Files PDF Accepted_Author_Manuscrip ... 205789.pdf 2.28 MB Close viewer /islandora/object/uuid:3aa56cce-21bb-495e-a054-02b600609ff1/datastream/OBJ/view