
Necessary Kuhn-Tucker conditions up to precision ɛ without constraint qualification for ɛ-Pareto optimality of multiobjective programming are derived. This article suggests the establishment of a Wolfe-type ɛ-duality theorem for nondifferentiable, nonconvex, multiobjective minimization problems. The ɛ-vector Lagrangian and the generalized ɛ-saddle point for Pareto optimality are studied.
Nonsmooth analysis, Multi-objective and goal programming
Nonsmooth analysis, Multi-objective and goal programming
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