Ir al contenido

Documat


The e -Optimality Conditions for Multiple Objective Fractional Programming Problems for Generalized (ρ, η) - Invexity of Higher Order

  • Ram U Verma [1]
    1. [1] International Publications
  • Localización: Cubo: A Mathematical Journal, ISSN 0716-7776, ISSN-e 0719-0646, Vol. 14, Nº. 2, 2012, págs. 1-13
  • Idioma: inglés
  • DOI: 10.4067/S0719-06462012000200001
  • Enlaces
  • Resumen
    • español

      Motivado por investigaciones recientes en la literatura, se introduce un marco general para una clase de funciones (ρ, η)-invex n-set de orden superior y se exploran algunos resultados sobre condiciones de epsilon-optimalidad para objetivos multiples fraccionales de subconjuntos de programación. Los resultados obtenidos son de naturaleza general, dado que generalizan y unifican resultados sobre invexity generalizada e invexity generalizada de orden superior en el contexto de la programacion multiple fraccionaria.

    • English

      Motivated by the recent investigations in literature, a general framework for a class of (ρ, η) -invex n-set functions of higher order is introduced, and then some results on the e-optimality conditions for multiple objective fractional subset programming are explored. The obtained results are general in nature, while generalize and unify results on generalized invexity as well as on generalized invexity of higher order to the context of multiple fractional programming.

  • Referencias bibliográficas
    • Bae, K.D,Kim, D.S. (2011). Optimality and duality theorems in nonsmooth multiobjective optimization. Fixed Point Theory & Applications....
    • Caiping, L,Xinmin, Y. (2009). Generalized -invariant monotonicity and generalized -invexity of non-differentiable functions. Journal of Inequalities...
    • Corley, H.W. (1987). Optimization theory for n-set functions. Journal of Mathematical Analysis and Applications. 127. 193-205
    • Hanson, M.A. (1981). On sufficiency of the Kuhn-Tucker conditions. Journal of Mathematical Analysis and Applications. 80. 205
    • Jeyakumar, V. (1985). Strong and weak invexity in mathematical programming. Methods Oper. Res. 55. 109-125
    • Jeyakumar, V,Lee, G.M,Dinh, N. (2003). New sequential Lagrange multiplier conditions characterizing optimality without constraints convex...
    • Jimenez, B,Novo, V. (2003). First and second order sufficient conditions for strict minimality in nonsmooth vector optimization. Journal ofMathematical...
    • Jimenez, B,Novo, V. (2002). First and second order sufficient conditions for strict minimality in multiobjective programming. Numerical Functional...
    • Kim, M.H,Kim, G.S,Lee, G.M. (2011). On e-optimality conditions for multiobjective fractional optimization problems. FPTA.
    • Lin, L.J. (1991). On the optimality conditions for vector-valued n-set functions. Journal of Mathematical Analysis and Applications. 161....
    • Mishra, S.K,Jaiswal, M,Pankaj. (2010). Optimality conditions for multiple objective fractional subset programming with invex an related non-convex...
    • Mishra, S.K,Wang, S.Y,Lai, K.K. (2009). Generalized convexity and vector optimization: Non-convex Optimization and its Applications. Springer-Verlag....
    • Verma, R.U. General parametric sufficient optimality conditions for multiple objective fractional subset programming relating to generalized...
    • Verma, R.U. (2011). The optimality conditions for multiple objective fractional programming based on generalized : invex functions. Advances...
    • Verma, R.U. (2011). On generalized e-optimality conditions for multiple objective fractional programming with generalized non-convex functions....
    • Zalmai, G.J. (2002). Efficiency conditions and duality models for multiobjective fractional subset programming problems with generalized :...
    • Zeidler, E. (1985). Nonlinear Functional Analysis and its Applications III. Springer-Verlag. New York.
Los metadatos del artículo han sido obtenidos de SciELO Chile

Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno