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		<title>Passive Solar Building Design Using Genetic Programming TR - Versionsgeschichte</title>
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		<title>Gbachelier: Die Seite wurde neu angelegt: „== Reference == M.M.O. Gholami and Brian J. Ross: Passive Solar Building Design Using Genetic Programming_TR | Passive Solar Building Design Using Geneti…“</title>
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		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „== Reference == M.M.O. Gholami and &lt;a href=&quot;/index.php?title=Brian_J._Ross&quot; title=&quot;Brian J. Ross&quot;&gt;Brian J. Ross&lt;/a&gt;: Passive Solar Building Design Using Genetic Programming_TR | Passive Solar Building Design Using Geneti…“&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Reference ==&lt;br /&gt;
M.M.O. Gholami and [[Brian J. Ross]]: [[Passive Solar Building Design Using Genetic Programming_TR | Passive Solar Building Design Using Genetic Programming]]. Brock COSC TR CS-14-02, January 2014. &lt;br /&gt;
&lt;br /&gt;
== DOI ==&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
Passive solar building design considers the effect that sun-&lt;br /&gt;
light has on energy usage. The goal is to reduce the need&lt;br /&gt;
for artificial cooling and heating devices, thereby saving en-&lt;br /&gt;
ergy costs. A number of competing design objectives can&lt;br /&gt;
arise. Window heat gain during winter requires large win-&lt;br /&gt;
dows. These same windows, however, reduce energy effi-&lt;br /&gt;
ciency during nights and summers. Other model require-&lt;br /&gt;
ments add further complications, which creates a challenging&lt;br /&gt;
optimization problem. We use genetic programming for pas-&lt;br /&gt;
sive solar building design. The EnergyPlus system is used&lt;br /&gt;
to evaluate energy consumption. It considers factors rang-&lt;br /&gt;
ing from model construction (shape, windows, materials)&lt;br /&gt;
to location particulars (latitude/longitude, weather, time of&lt;br /&gt;
day/year). We use a split grammar to build 3D models,&lt;br /&gt;
and multi-objective fitness to evaluate the multiple design&lt;br /&gt;
objectives. Experimental results showed that balancing win-&lt;br /&gt;
dow heat gain and total energy use is challenging, although&lt;br /&gt;
our multi-objective strategy could find interesting compro-&lt;br /&gt;
mises. Many factors (roof shape, material selection) were&lt;br /&gt;
consistently optimized by evolution. We also found that ge-&lt;br /&gt;
ographic aspects of the location play a critical role in the&lt;br /&gt;
final building design.&lt;br /&gt;
&lt;br /&gt;
== Extended Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Bibtex == &lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://www.cosc.brocku.ca/files/downloads/research/cs1402.pdf&lt;br /&gt;
&lt;br /&gt;
[[intern file]]&lt;br /&gt;
&lt;br /&gt;
=== Sonstige Links ===&lt;/div&gt;</summary>
		<author><name>Gbachelier</name></author>	</entry>

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