期刊
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 31, 期 -, 页码 101-112出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2013.11.036
关键词
Building; Design; Algorithms; Optimization; Review
Building design is quite a complicated task with the design team trying to counterbalance various antagonistic parameters, which in turn are subject to various constraints. Due to this complexity, performance simulation tools are employed and as a consequence, optimization methods have just started being used, mainly as a decision aid. There are examples, amongst the architectural community, where probabilistic evolutionary algorithms or other derivative-free methods have been used with various decision variables and objective goals. This paper is a review of the methods and tools used for the building design optimization in an effort to explore the reasoning behind their selection, to present their abilities and performance issues and to identify the key characteristics of their future versions. (C) 2013 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据