## Journals

- Advances in Mathematics of Communications
- Big Data & Information Analytics
- Communications on Pure & Applied Analysis
- Discrete & Continuous Dynamical Systems - A
- Discrete & Continuous Dynamical Systems - B
- Discrete & Continuous Dynamical Systems - S
- Evolution Equations & Control Theory
- Inverse Problems & Imaging
- Journal of Computational Dynamics
- Journal of Dynamics & Games
- Journal of Geometric Mechanics
- Journal of Industrial & Management Optimization
- Journal of Modern Dynamics
- Kinetic & Related Models
- Mathematical Biosciences & Engineering
- Mathematical Control & Related Fields
- Mathematical Foundations of Computing
- Networks & Heterogeneous Media
- Numerical Algebra, Control & Optimization
- Electronic Research Announcements
- Conference Publications
- AIMS Mathematics

JIMO

In the case of some large statistical surveys, the set of units that will constitute the scope of the survey must be selected.
We focus on the real case of a Census of Agriculture, where the units are farms.
Surveying each unit has a cost and brings a different portion of the whole information.
In this case, one wants to determine a subset of units producing the minimum total cost for being surveyed and representing
at least a certain portion of the total information.
Uncertainty aspects also occur, because the portion of information corresponding to each unit is not perfectly known
before surveying it.
The proposed approach is based on combinatorial optimization,
and the arising decision problems are modeled as multidimensional binary knapsack problems.
Experimental results show the effectiveness of the proposed approach.

## Year of publication

## Related Authors

## Related Keywords

[Back to Top]