A multi-objective window optimisation problem

A multi-objective window optimisation problem
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DOI:
10.1145/2001858.2001910
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发表时间:
2011-07
期刊:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
影响因子:
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通讯作者:
A. Brownlee;J. Wright;M. Mourshed
A. Brownlee;J. Wright;M. Mourshed
中科院分区:
其他
文献类型:
--
作者:
A. Brownlee;J. Wright;M. Mourshed

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我们提出了一个优化问题,该问题寻求寻找建筑窗户和遮阳设计的帕累托最优正面,最小化两个目标:可运营建筑的预计能源使用量和建筑成本。这个问题特别令人感兴趣,因为它有许多变量交互作用,并且每个函数求值都相对耗时。它还利用了可免费获得的建筑模拟程序EnergyPlus,该程序可用于许多其他建筑设计优化问题。我们描述了这个问题,并报告了实验结果,比较了一些现有的应用于该问题的多目标进化算法的性能。我们的结论是,这代表着一个很有前途的现实应用领域。
We present an optimisation problem which seeks to locate the Pareto-optimal front of building window and shading designs minimising two objectives: projected energy use of the operational building and its construction cost. This problem is of particular interest because it has many variable interactions and each function evaluation is relatively time-consuming. It also makes use of a freely-available building simulation program EnergyPlus which may be used in many other building design optimisation problems. We describe the problem and report the results of experiments comparing the performance of a number of existing multi-objective evolutionary algorithms applied to it. We conclude that this represents a promising real-world application area.