Duality in nonlinear multiobjective programming using augmented Lagrangian functions

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作者：
Department of Mathematics, St. Lawrence University, Canton, NY, United States [1 ]
不详 [2 ]
不详 [3 ]
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来源：
J. Optim. Theory Appl. | / 3卷 / 659-670期
关键词：
Constrained optimization - Lagrange multipliers - Multiobjective optimization - Pareto principle;
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摘要：
A vector-valued generalized Lagrangian is constructed for a nonlinear multiobjective programming problem. Using the Lagrangian, a multiobjective dual is considered. Without assuming differentiability, weak and strong duality theorems are established using Pareto efficiency.
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