Interior Spatial Layout with Soft Objectives using Evolutionary Computation

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.