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Symmetric Duality for a Multiobjective Fractional Programming with Cone Objectives as Well as Constraints

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Applications of Operational Research in Business and Industries

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Abstract

In the present article, we study naturally K-pseudoconvex and strongly K-pseudoconvex definition and also give existing numerical examples of functions of this kind, and under cones functions, we develop a novel type of non-differentiable multiobjective fractional symmetric dual programming of the Mond–Weir type and prove duality relations involving strongly K-pseudoinvexity assumptions. Our results generalize a number of previous findings in the literature.

Ramu Dubey and Lakshmi Narayan Mishra contributed equally to this work.

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Acknowledgements

The first author acknowledges the J.C. Bose University of Science and Technology, YMCA, Faridabad, as well as the UGC, New Delhi, for giving funding financial support.

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Correspondence to Ramu Dubey .

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Balram, Dubey, R., Mishra, L.N. (2023). Symmetric Duality for a Multiobjective Fractional Programming with Cone Objectives as Well as Constraints. In: Gunasekaran, A., Sharma, J.K., Kar, S. (eds) Applications of Operational Research in Business and Industries. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-19-8012-1_22

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