Please use this identifier to cite or link to this item:
https://elar.urfu.ru/handle/10995/89983
Title: | Optimal and heuristic algorithms of planning of low-rise residential buildings |
Authors: | Kartak, V. M. Marchenko, A. A. Petunin, A. A. Sesekin, A. N. Fabarisova, A. I. |
Issue Date: | 2017 |
Publisher: | American Institute of Physics Inc. |
Citation: | Optimal and heuristic algorithms of planning of low-rise residential buildings / V. M. Kartak, A. A. Marchenko, A. A. Petunin, A. N. Sesekin, et al. . — DOI 10.1063/1.5007408 // AIP Conference Proceedings. — 2017. — Iss. 1895. — 110002. |
Abstract: | The problem of the optimal layout of low-rise residential building is considered. Each apartment must be no less than the corresponding apartment from the proposed list. Also all requests must be made and excess of the total square over of the total square of apartment from the list must be minimized. The difference in the squares formed due to with the discreteness of distances between bearing walls and a number of other technological limitations. It shown, that this problem is NP-hard. The authors built a linear-integer model and conducted her qualitative analysis. As well, authors developed a heuristic algorithm for the solution tasks of a high dimension. The computational experiment was conducted which confirming the efficiency of the proposed approach. Practical recommendations on the use the proposed algorithms are given. © 2017 Author(s). |
URI: | http://elar.urfu.ru/handle/10995/89983 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 85031670611 |
WOS ID: | 000426902700054 |
PURE ID: | 2211907 |
ISSN: | 0094-243X |
ISBN: | 9780735415799 |
DOI: | 10.1063/1.5007408 |
Sponsorship: | Russian Foundation for Basic Research, RFBR: 16-01-00649 The work was supported by Act 211 Government of the Russian Federation, contract No 02.A03.21.0006, and by the Russian Foundation for Basic Research, project No. 16-01-00649. |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Files in This Item:
File | Description | Size | Format | |
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10.1063-1.5007408.pdf | 357,9 kB | Adobe PDF | View/Open |
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