FGP approach to quadratically constrained multi-objective quadratic fractional programming with parametric functions

DOI10.1007/s12597-021-00545-1OpenAlexW3179725126MaRDI QIDQ2085471

Namrata Rani, Deepak Gupta, Vandana Goyal

Publication date: 18 October 2022

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-021-00545-1

zbMATH Keywords

membership functionsfuzzy goal programmingparametric approachfuzzy goalsmultiobjective quadratic fractional programming modelvector of parameters

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Multi-choice goal programming with utility functions
• An efficient algorithm for solving convex-convex quadratic fractional programs
• On the complex fractional quadratic optimization with a quadratic constraint
• Solution approach to multi-objective linear fractional programming problem using parametric functions
• Solving multi-level multi-objective linear programming problems through fuzzy goal programming approach
• Parametric approach for solving quadratic fractional optimization with a linear and a quadratic constraint
• Global optimization for the sum of generalized polynomial fractional functions
• Interactive fuzzy programming approach to bi-level quadratic fractional programming problems
• Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints
• MAXIMIZING PREDICTABILITY IN THE STOCK AND BOND MARKETS
• On Nonlinear Fractional Programming
• Parametric approach for an absolute value linear fractional programming with interval coefficients in the objective function

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