Montemanni, Roberto and Toklu, Engin and Toklu, Şakir Çağlar and Toklu, Yusuf Cengiz (2012) Aggregate Blending via Robust Linear Programming. Journal of Construction Engineering and Management, 138 (2). pp. 188-196. ISSN 0733-9364
Full text not available from this repository.Abstract
Aggregate blending is a problem frequently encountered in the construction industry. In this article, it is shown that robust linear programming can be used to produce solutions protected against noisy data with the same computational complexity of the classic optimization methods for the problem. It is also shown that nonlinear cost functions can be approximated by piecewise linear functions, keeping complexity at a low level. Finally, experimental results are presented. The aim is to understand how robust linear programming solutions compare with those of other methods previously described in the literature and to evaluate the actual quality of the robust solutions.
| Item Type: | Scientific journal article, Newspaper article or Magazine article |
|---|---|
| Subjects: | Engineering > Civil engineering Computer sciences > Computer science |
| Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
| Depositing User: | Engin Toklu |
| Date Deposited: | 03 Apr 2014 12:06 |
| Last Modified: | 19 May 2016 11:50 |
| URI: | http://repository.supsi.ch/id/eprint/4295 |
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