Minimax rule for energy optimization

Alex Mahalov; Ionut Traian Luca

doi:10.1016/j.compfluid.2016.08.014

Minimax rule for energy optimization

Alex Mahalov, Ionut Traian Luca

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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	https://doi.org/10.1016/j.compfluid.2016.08.014
State	Accepted/In press - Mar 2 2016

Keywords

Energy
Kuhn-Tucker
Minimax
Optimization

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)

Access to Document

10.1016/j.compfluid.2016.08.014

Cite this

@article{b5d118ab700649e6a3a534cf2ecbc97b,

title = "Minimax rule for energy optimization",

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.",

keywords = "Energy, Kuhn-Tucker, Minimax, Optimization",

author = "Alex Mahalov and Luca, {Ionut Traian}",

year = "2016",

month = mar,

day = "2",

doi = "10.1016/j.compfluid.2016.08.014",

language = "English (US)",

journal = "Computers and Fluids",

issn = "0045-7930",

publisher = "Elsevier Limited",

}

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

AN - SCOPUS:85004072349

JO - Computers and Fluids

JF - Computers and Fluids

SN - 0045-7930

ER -