| Autor: |
Cano EL; Department of Computer Science and Statistics, Rey Juan Carlos University, Spain., Moguerza JM; Department of Computer Science and Statistics, Rey Juan Carlos University, Spain., Alonso-Ayuso A; Department of Computer Science and Statistics, Rey Juan Carlos University, Spain. |
| Jazyk: |
angličtina |
| Zdroj: |
Data in brief [Data Brief] 2015 Oct 31; Vol. 5, pp. 805-9. Date of Electronic Publication: 2015 Oct 31 (Print Publication: 2015). |
| DOI: |
10.1016/j.dib.2015.10.021 |
| Abstrakt: |
Optimization instances relate to the input and output data stemming from optimization problems in general. Typically, an optimization problem consists of an objective function to be optimized (either minimized or maximized) and a set of constraints. Thus, objective and constraints are jointly a set of equations in the optimization model. Such equations are a combination of decision variables and known parameters, which are usually related to a set domain. When this combination is a linear combination, we are facing a classical Linear Programming (LP) problem. An optimization instance is related to an optimization model. We refer to that model as the Symbolic Model Specification (SMS) containing all the sets, variables, and parameters symbols and relations. Thus, a whole instance is composed by the SMS, the elements in each set, the data values for all the parameters, and, eventually, the optimal decisions resulting from the optimization solution. This data article contains several optimization instances from a real-world optimization problem relating to investment planning on energy efficient technologies at the building level. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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