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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

A penalty method for linear programming

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pp. 677–685Vol. 45Issue 3April 2024DOI: 10.47974/JIOS-1340XML
Received:
06 Jul 2022
Accepted:
02 Nov 2022
Published Online:
27 Apr 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1340
Pages:
677–685

Abstract

A logarithmic penalty method for linear optimization problem with a new approximate function is analyzed. The function addressed makes it possible to offer a displacement-step without major difficulties.We consider some numerical results which show the superiority of this approach versus line search methods.

Keywords

Subject Classifications

(2010) 90C2290C51

References

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