Parametrically Sufficient Optimality Conditions for Multiobjective Fractional Subset Programming Relating to Generalized $(\eta, \rho, \theta)$-Invexity of Higher Order

Authors

  • Ram U. Verma Department of Mathematics, Texas State University, San Marcos, Texas 78666

DOI:

https://doi.org/10.26713/jims.v5i3.221

Keywords:

Generalized invexity of higher order, Multiobjective fractional programming, Fractional subset programming, Sufficient optimality conditions

Abstract

Inspired by the recent investigations,  a general framework for a class of $(\eta, \rho,\theta)$-invex $n$-set functions of higher order $r\geq 1$ is introduced, and then some optimality conditions for multiobjective fractional programming on the generalized $(\eta,\rho,\theta)$-invexity are established. The obtained results are general in nature and unify various results on fractional subset programming in the literature.

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References

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CITATION

How to Cite

Verma, R. U. (2013). Parametrically Sufficient Optimality Conditions for Multiobjective Fractional Subset Programming Relating to Generalized $(\eta, \rho, \theta)$-Invexity of Higher Order. Journal of Informatics and Mathematical Sciences, 5(3), 143–156. https://doi.org/10.26713/jims.v5i3.221

Issue

Vol. 5 No. 3 (2013)

Section

Research Articles

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