On minimax fractional programming problems involving generalized $(H_p,r)$-invex functions

Autor:	Ashish Kumar Prasad, Izhar Ahmad, Anurag Jayswal
Rok vydání:	2014
Předmět:	Combinatorics Pure mathematics Control and Optimization Fractional programming Applied Mathematics Strategy and Management Converse Duality (optimization) Business and International Management Electrical and Electronic Engineering Minimax Atomic and Molecular Physics and Optics Mathematics
Zdroj:	Journal of Industrial & Management Optimization. 10:1001-1018
ISSN:	1553-166X
DOI:	10.3934/jimo.2014.10.1001
Popis:	In the present paper, we move forward in the study of minimax fractional programming problem and establish sufficient optimality conditions under the assumptions of generalized $(H_p,r)$-invexity. Weak, strong and strict converse duality theorems are also derived for two types of dual models related to minimax fractional programming problem involving aforesaid invex functions. In order to show the existence of introduced class of functions, examples are given.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5957f5ab749c6540ae418010be3dfd01 https://doi.org/10.3934/jimo.2014.10.1001 Zobrazit plný text záznamu