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Optimization instances for deterministic and stochastic problems on energy efficient investments planning at the building level.

Cano EL, Moguerza JM, Alonso-Ayuso A - Data Brief (2015)

Bottom Line: An optimization instance is related to an optimization model.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Statistics, Rey Juan Carlos University, Spain.

ABSTRACT
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.

No MeSH data available.


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Optimization instances for deterministic and stochastic problems on energy efficient investments planning at the building level.

Cano EL, Moguerza JM, Alonso-Ayuso A - Data Brief (2015)

© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4660381&req=5

Bottom Line: An optimization instance is related to an optimization model.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Statistics, Rey Juan Carlos University, Spain.

ABSTRACT
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.

No MeSH data available.