Issue |
ITM Web Conf.
Volume 24, 2019
AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
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Article Number | 01002 | |
Number of page(s) | 12 | |
Section | Communications-Systems-Signal Processing | |
DOI | https://doi.org/10.1051/itmconf/20192401002 | |
Published online | 01 February 2019 |
E-invexity and generalized E-invexity in E-differentiable multiobjective programming
Department of Mathematics, Hadhramout University, Mukalla -P.O. BOX : (50511-50512), Yemen
* e-mail: nabbas985@gmail.com
In this paper, a new concept of generalized convexity is introduced for not necessarily differentiable vector optimization problems. For an E-differentiable function, the concept of E-invexity is introduced as a generalization of the E-differentiable E-convexity notion. In addition, some properties of E-differentiable E-invex functions are investigated. Furthermore, the so-called E-Karush-Kuhn-Tucker necessary optimality conditions are established for the considered E-differentiable vector optimization problems with both inequality and equality constraints. Also, the sufficiency of the E-Karush-Kuhn-Tucker necessary optimality conditions are proved for such E-differentiable vector optimization problems in which the involved functions are E-invex and/or generalized E-invex.
Key words: E-invex set / E-invex function / E-differentiable function / E-Karush-Kuhn-Tucker necessary optimality conditions
Key words: 90C26 / 90C30 / 90C46 / 90C47
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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