Applications of Optimization Modeling in Multi-Disciplinary Engineering Research

Source Publication (e.g., journal title)

Biosystems Engineering & Soil Science Annual Research Symposium 2019

Authors

Anton F. Astner, University of Tennessee, KnoxvilleFollow
Ekramul Haque Ehite, University of Tennessee, KnoxvilleFollow
Yang Li, University of Tennessee, KnoxvilleFollow
Colin Sasthav, University of Tennessee, KnoxvilleFollow

Document Type

Poster

Publication Date

Spring 4-24-2019

Abstract

Optimization modeling is the process of selection of the best solution to a design problem using predetermined constraints from a set of prospective solutions. Increased computing power has made optimization solvers readily available for business/research needs. For example, Microsoft Excel has a simple, but robust solver. Such solvers can model linear, nonlinear, and integer programming problems that are limited in size. This study shows the use of the optimization model solvers in various research contexts.

Recommended Citation

Astner, Anton F.; Ehite, Ekramul Haque; Li, Yang; and Sasthav, Colin, "Applications of Optimization Modeling in Multi-Disciplinary Engineering Research" (2019). Biosystems Engineering and Soil Science Publications and Other Works.
https://trace.tennessee.edu/utk_biospubs/12

Submission Type

Post-print