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Minimax Programming Under Generalized (p, r)-Invexity

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Abstract

Minimax programming problems involving generalized (p, r)-invex functions are considered. Parametric sufficient optimality conditions and duality results are established under the aforesaid assumptions on the objective and constraint functions.

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Authors and Affiliations

  1. Department of Mathematics, Statistics and Computer Science, College of Basic Sciences and Humanities, G. B. Pant University of Agriculture and Technology, Pantnagar, 263 145, India

    S. K. Mishra

  2. Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100080, China

    Shouyang Wang

  3. Department of Management Sciences, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    K. K. Lai

Authors
  1. S. K. Mishra
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  2. Shouyang Wang
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  3. K. K. Lai
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Corresponding author

Correspondence to S. K. Mishra.

Additional information

The research is supported by the Council of Scientific and Industrial Research, New Delhi, National Natural Research Foundation of China, and the Research Grants Council of Hong Kong.

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Mishra, S.K., Wang, S. & Lai, K.K. Minimax Programming Under Generalized (p, r)-Invexity. Jrl Syst Sci & Complex 20, 501–508 (2007). https://doi.org/10.1007/s11424-007-9047-9

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  • DOI: https://doi.org/10.1007/s11424-007-9047-9

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