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Necessary Optimality Condition for Nonlinear Interval Vector Programming Problem Under B-Arcwise Connected Functions

  • Mohan Bir SubbaEmail author
  • Vinay Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 991)

Abstract

We consider the nonlinear interval vector programming problem (NIVP) for solving uncertainty programming problems and introduced the set of B-arcwise connected interval-valued function (BCIF) and strictly BCIF (SBCIF) by generalizing the notion of arcwise connected interval-valued function. Arcwise connected function is a generalization of convex function which is defined on the arcwise connected set [2]. The differentiability of the function is studied by introducing right generalized Hukuhara derivative (gH-derivative or gH-differentiable). The extremum conditions for the functions under right gH-derivative have been derived. This is a new type of NIVP with right gH-differentiable function in both multiple objective and constraints involving BCIFs. The Fritz-John kind and Karush-Kuhn-Tucker kind necessary weakly LU-efficiency condition for NIVP are obtained with right gH-differentiable BCIFs in both multiple objective function and constraints functions.

Keywords

Interval-valued function Arcwise connected Optimality condition Interval optimization Hukuhara difference 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.National Institute of Technology MizoramAizawlIndia

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