Generalized \((\eta,\rho)\)-invex functions and semiparametric duality models for multiobjective fractional programming problems containing arbitrary norms
The author studies multiobjective fractional programming problems containing arbitrary norms in their objective functions and constraints. Several semiparametric duality results under generalized \((\eta,\rho)\)-invexity conditions are presented. It is suggested that the style and techniques, employed here can be utilized for developing similar results for other classes of optimization problems including discrete, continuous min-max programming and semiinfinite programming problems.
Generalized \((\eta,\rho)\)-invex functions
scientific article; zbMATH DE number 5081907
scientific article