AWolfe-Type Steepest Descent Algorithm for Uncertain Quadratic Multiobjective Optimization Problems

  • Amar Deep
  • Shubham Kumar Department of Mathematics, IILM University Greater Noida Uttar Pradesh India.
DOI: https://doi.org/10.5269/bspm.81660

Résumé

Thisworkdevelops aWolfe-type steepestdescent algorithmfor solvinguncertainquadratic
multiobjectiveoptimizationproblems(UMOPs)byreformulatingthemintodeterministicrobustcounterparts
viaobjective-wiseworst-casecriteria.TheproposedmethodincorporatesaWolfe-typeinexact linesearchto
obtainmoreefficientdescentdirectionsandimproveoverallconvergencebehavior.AZoutendijk-typecondition
isestablishedtoguaranteelinearconvergenceunderstandardassumptions.

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Publiée
2026-04-10
Numéro
Vol. 44 No 7 (2026): Nonlinear Analysis and Applied Mathematics
Rubrique
Special Issue: Non-Linear Analysis and Applied Mathematics

Copyright (c) 2026 Boletim da Sociedade Paranaense de Matemática

Creative Commons License

Ce travail est disponible sous la licence Creative Commons Attribution 4.0 International .

When the manuscript is accepted for publication, the authors agree automatically to transfer the copyright to the (SPM).

The journal utilize the Creative Common Attribution (CC-BY 4.0).

 

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