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Scalarization Methods for Vector Variational Inequality

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Vector Variational Inequalities and Vector Equilibria

Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 38))

Abstract

Scalarization of vector problems is an important concept at least from the computational point of view. In this paper, scalarization is applied to Weak Vector Variational Inequalities, and results are established using a symmetric Jacobian condition. New relationships are presented for Vector Variational Inequalities and Vector Optimization problems, and sufficient and necessary conditions for reducing a Weak Vector Variational Inequality to a (scalar) Variational Inequality are discussed. An exact analytical method for solving a special case of the Weak Vector Variational Inequality involving only affine functions via scalarization is proposed.

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© 2000 Kluwer Academic Publishers

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Goh, CJ., Yang, X.Q. (2000). Scalarization Methods for Vector Variational Inequality. In: Giannessi, F. (eds) Vector Variational Inequalities and Vector Equilibria. Nonconvex Optimization and Its Applications, vol 38. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0299-5_12

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  • DOI: https://doi.org/10.1007/978-1-4613-0299-5_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7985-0

  • Online ISBN: 978-1-4613-0299-5

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