Abstract
The purpose of this paper is to present an efficient solution for energy optimization problem. We have identified some similarities between portfolio optimization and energy optimization. Using Kuhn-Tucker conditions we compute the efficient solution for a bi-criteria energy optimization problem.
| Original language | English (US) |
|---|---|
| Journal | Computers and Fluids |
| DOIs | |
| State | Accepted/In press - Mar 2 2016 |
Keywords
- Energy
- Kuhn-Tucker
- Minimax
- Optimization
ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)
Cite this
Minimax rule for energy optimization. / Mahalov, Alex; Luca, Ionut Traian.
In: Computers and Fluids, 02.03.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Minimax rule for energy optimization
AU - Mahalov, Alex
AU - Luca, Ionut Traian
PY - 2016/3/2
Y1 - 2016/3/2
N2 - The purpose of this paper is to present an efficient solution for energy optimization problem. We have identified some similarities between portfolio optimization and energy optimization. Using Kuhn-Tucker conditions we compute the efficient solution for a bi-criteria energy optimization problem.
AB - The purpose of this paper is to present an efficient solution for energy optimization problem. We have identified some similarities between portfolio optimization and energy optimization. Using Kuhn-Tucker conditions we compute the efficient solution for a bi-criteria energy optimization problem.
KW - Energy
KW - Kuhn-Tucker
KW - Minimax
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85004072349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85004072349&partnerID=8YFLogxK
U2 - 10.1016/j.compfluid.2016.08.014
DO - 10.1016/j.compfluid.2016.08.014
M3 - Article
JO - Computers and Fluids
JF - Computers and Fluids
SN - 0045-7930
ER -