An object-oriented framework for simulation-based green building design optimization with genetic algorithms

作     者：Wang, WM Rivard, H Zmeureanu, R 

作者机构：Univ Quebec Ecole Technol Super Dept Construct Engn Montreal PQ H3C 1K3 Canada Concordia Univ Dept Bldg Civil & Environm Engn Ctr Bldg Studies Montreal PQ H3G 1M8 Canada 

出 版 物：《ADVANCED ENGINEERING INFORMATICS》 (高级工程信息学)

年 卷 期：2005年第19卷第1期

页      面：5-23页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：EJLB Foundation of Canada 

主　　题：genetic algorithm green building object-oriented framework optimization simulation programs sustainable development 

摘      要：Simulation-based optimization can assist green building design by overcoming the drawbacks of trial-and-error with simulation alone. This paper presents an object-oriented framework that addresses many particular characteristics of green building design optimization problems such as hierarchical variables and the coupling with simulation programs. The framework facilitates the reuse of code and can be easily adapted to solve other similar optimization problems. Variable types supported include continuous variables, discrete variables, and structured variables, which act as switches to control a number of sub-level variables. The framework implements genetic algorithms to solve (1) unconstrained and constrained single objective optimization problems, and (2) unconstrained multi-objective optimization problems. The application of this framework is demonstrated through a case study which uses a multi-objective genetic algorithm to explore the trade-off relationship between life-cycle cost and life-cycle environmental impacts for a green building design. (C) 2005 Elsevier Ltd. All rights reserved.