Design of rectangular façade modules through computational intelligence

Abstract

This paper presents an implementation of multiobjective optimization for a rectangular façade design proposal in a healthcare building's common space. Objectives are to maximize daylight performance and to minimize façade construction cost. The aim of this study is to enhance indoor comfort of an existing healthcare building by concerning cost-effective façade design alternatives subject to several constraints. To handle the problem we formulate a multi-objective real-parameter constraint problem. In order to solve this Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-objective Self-Adaptive Ensemble Differential Evolution (jE-DEMO) algorithms are used. Finally both algorithms are capable to discover desirable set of design alternatives. © 2017 Elsevier B.V. All rights reserved.