Optimization Approaches in Performance-Based Architectural Design A comparison study

Abstract

Over the past decade, computational design optimization has been increasingly applied to the studies related to early-stage architectural design exploration and information extraction, in which various optimization approaches have been adopted such as singleobjective optimization (SOO) and multi-objective optimization (MOO). Despite this, the impact of optimization approaches on information extraction has been relatively underresearched. In this regard, this paper presents a comparison study of different optimization approaches, with a special focus on search efficiency and information extraction. In the comparison study, we investigate the impact of different optimization approaches on information extraction and design cognition and finally, discuss the utility of these approaches to architectural design ideation and synthesis.