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文章基本信息

  • 标题:On nonsmooth multiobjective fractional programming problems involving (p, r)− ρ −(η ,θ)- invex functions
  • 本地全文:下载
  • 作者:Jayswal Anurag ; Prasad Ashish Kumar ; Stancu-Minasian I.M.
  • 期刊名称:Yugoslav Journal of Operations Research
  • 印刷版ISSN:0354-0243
  • 电子版ISSN:1820-743X
  • 出版年度:2013
  • 卷号:23
  • 期号:3
  • 页码:367-386
  • DOI:10.2298/YJOR130131012J
  • 出版社:Faculty of Organizational Sciences, Belgrade, Mihajlo Pupin Institute, Belgrade, Economics Institute, Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Faculty of Mechanical Engineering, Belgrade
  • 摘要:

    A class of multiobjective fractional programming problems (MFP) is considered where the involved functions are locally Lipschitz. In order to deduce our main results, we introduce the definition of (p,r)−ρ −(η,θ)-invex class about the Clarke generalized gradient. Under the above invexity assumption, sufficient conditions for optimality are given. Finally, three types of dual problems corresponding to (MFP) are formulated, and appropriate dual theorems are proved.

  • 关键词:multiobjective fractional programming; Clarke gradient; (p;r)−ρ−(η;θ)-invexity; efficiency; sufficient optimality conditions; duality theorems
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