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Approximate Efficient Solutions of Nonsmooth Vector Optimization Problems via Approximate Vector Variational Inequalities

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Nonlinear Analysis: Problems, Applications and Computational Methods (SM2A 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 168))

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Abstract

In this work, we demonstrate the connection between the solutions of approximate vector variational inequalities and approximate efficient solutions of corresponding nonsmooth vector optimization problems via generalized approximate invex functions. The underlying variational inequalities are stated under the Clarke’s generalized Jacobian.

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Acknowledgments

The authors are most grateful to Dr. Lhoussain Elfadil for continued help throughout the preparation of this paper.

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Correspondence to El Mostafa Kalmoun .

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Jennane, M., Kalmoun, E.M. (2021). Approximate Efficient Solutions of Nonsmooth Vector Optimization Problems via Approximate Vector Variational Inequalities. In: Hammouch, Z., Dutta, H., Melliani, S., Ruzhansky, M. (eds) Nonlinear Analysis: Problems, Applications and Computational Methods. SM2A 2019. Lecture Notes in Networks and Systems, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-030-62299-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-62299-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62298-5

  • Online ISBN: 978-3-030-62299-2

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