Optimality and duality for minimax fractional programming with support function under (C,α,ρ,d)-convexity
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摘要
Sufficient optimality conditions are established for a class of nondifferentiable generalized minimax fractional programming problem with support functions. Further, two dual models are considered and weak, strong and strict converse duality theorems are established under the assumptions of (C,α,ρ,d)-convexity. Results presented in this paper, generalizes several results from literature to more general model of the problems as well as for more general class of generalized convexity.
论文关键词:Generalized convexity,Minimax fractional programming,Support function,Sufficiency,Duality
论文评审过程:Received 31 August 2012, Revised 13 June 2014, Available online 5 July 2014.
论文官网地址:https://doi.org/10.1016/j.cam.2014.06.025