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

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)

Cite this

Mahalov, A., & Luca, I. T. (Accepted/In press). Minimax rule for energy optimization. Computers and Fluids. https://doi.org/10.1016/j.compfluid.2016.08.014

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Access to Document

10.1016/j.compfluid.2016.08.014