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

2 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)
Pages (from-to)	35-45
Number of pages	11
Journal	Computers and Fluids
Volume	151
DOIs	https://doi.org/10.1016/j.compfluid.2016.08.014
State	Published - Jun 27 2017

Keywords

Energy
Kuhn–Tucker
Minimax
Optimization

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1016/j.compfluid.2016.08.014

Cite this

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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}",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",

year = "2017",

month = jun,

day = "27",

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

language = "English (US)",

volume = "151",

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T1 - Minimax rule for energy optimization

AU - Mahalov, Alex

AU - Luca, Ionut Traian

PY - 2017/6/27

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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

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DO - 10.1016/j.compfluid.2016.08.014

M3 - Article

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SN - 0045-7930

VL - 151

SP - 35

EP - 45

JO - Computers and Fluids

JF - Computers and Fluids

ER -

Minimax rule for energy optimization

Abstract

Keywords

ASJC Scopus subject areas

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