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Acta Mathematica Scientia
Article . 2019 . Peer-reviewed
License: Springer TDM
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Article . 2019
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https://dx.doi.org/10.1007/s10...
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The Characterization of Efficiency and Saddle Point Criteria for Multiobjective Optimization Problem with Vanishing Constraints

The characterization of efficiency and saddle point criteria for multiobjective optimization problem with vanishing constraints
descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2019 English Publisher:Springer Science and Business Media LLCJournal:Acta Mathematica Scientia, volume 39, pages 382-394 (issn: 0252-9602, eissn: 1572-9087, Copyright policy )
Authors: Jayswal, Anurag; Singh, Vivek;

doi: 10.1007/s10473-019-0204-8

The Characterization of Efficiency and Saddle Point Criteria for Multiobjective Optimization Problem with Vanishing Constraints

Abstract

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Keywords

saddle point, Nonlinear programming, efficient solution, \(\eta\)-Lagrange function, multiobjective optimization problem with vanishing constraints, Multi-objective and goal programming, invexity, Convexity of real functions of several variables, generalizations

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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!
6
Top 10%
Average
Average
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