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

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

Resumo

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

Downloads

Não há dados estatísticos.
Publicado
2026-04-10
Edição
v. 44 n. 7 (2026): Nonlinear Analysis and Applied Mathematics
Seção
Special Issue: Non-Linear Analysis and Applied Mathematics

Copyright (c) 2026 Boletim da Sociedade Paranaense de Matemática

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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).

 

Crossref
Scopus
Google Scholar
Europe PMC