Algorithms for optimization of building design: A 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...
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| Published in | Renewable & sustainable energy reviews Vol. 31; pp. 101 - 112 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.03.2014
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1364-0321 1879-0690 |
| DOI | 10.1016/j.rser.2013.11.036 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Tsangrassoulis, Aris Axarli, Kleo Machairas, Vasileios |
| Author_xml | – sequence: 1 givenname: Vasileios surname: Machairas fullname: Machairas, Vasileios email: vasilis@maheras.gr, vmaheras@civil.auth.gr organization: Department of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece – sequence: 2 givenname: Aris surname: Tsangrassoulis fullname: Tsangrassoulis, Aris organization: Department of Architecture, University of Thessaly, Volos, Greece – sequence: 3 givenname: Kleo surname: Axarli fullname: Axarli, Kleo organization: Department of Architecture, Aristotle University of Thessaloniki, Thessaloniki, Greece |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28344190$$DView record in Pascal Francis |
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| Title | Algorithms for optimization of building design: A review |
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