Minimax and symmetric duality for nonlinear multiobjective mixed integer programming

Minimax and symmetric duality for nonlinear multiobjective mixed integer programming

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Article ID: iaor20014192
Country: Netherlands
Volume: 128
Issue: 2
Start Page Number: 435
End Page Number: 446
Publication Date: Jan 2001
Journal: European Journal of Operational Research
Authors: ,
Keywords: programming: integer
Abstract:

We formulate two pairs of symmetric duality for nonlinear multiobjective mixed integer programs for arbitrary cones. By using the concept of efficiency, we establish the weak, strong, converse and self-duality theorems for our symmetric models. Several known reslts are obtained as special cases.

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