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Mathematical Problems in Engineering
Article . 2012 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Mathematical Problems in Engineering
Article
License: CC BY
Data sources: UnpayWall
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zbMATH Open
Article . 2012
Data sources: zbMATH Open
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A Review of Deterministic Optimization Methods in Engineering and Management

A review of deterministic optimization methods in engineering and management
Authors: Lin, Ming-Hua; Tsai, Jung-Fa; Yu, Chian-Son;

A Review of Deterministic Optimization Methods in Engineering and Management

Abstract

With the increasing reliance on modeling optimization problems in practical applications, a number of theoretical and algorithmic contributions of optimization have been proposed. The approaches developed for treating optimization problems can be classified into deterministic and heuristic. This paper aims to introduce recent advances in deterministic methods for solving signomial programming problems and mixed‐integer nonlinear programming problems. A number of important applications in engineering and management are also reviewed to reveal the usefulness of the optimization methods.

Keywords

Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming, Nonlinear programming, Mixed integer programming

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
109
Top 1%
Top 10%
Top 10%
gold