Necessary Optimality Conditions for Nonsmooth Multicriterial Optimization Problems
Copyright policy )Necessary Optimality Conditions for Nonsmooth Multicriterial Optimization Problems
Summary: Necessary optimality conditions of the first order are derived for nonsmooth non-convex constrained optimization problems where the cost mapping is vector-valued and all occurring spaces are infinite- dimensional. These necessary conditions are given in the Karush-Kuhn- Tucker formulation and hold for various optimality concepts as proper and weak efficiency. An investigation and comparison of different constraint qualifications is also included.
nonsmooth non-convex constrained optimization, multicriterial optimization, Nonsmooth analysis, Multi-objective and goal programming, proper and weak efficiency
nonsmooth non-convex constrained optimization, multicriterial optimization, Nonsmooth analysis, Multi-objective and goal programming, proper and weak efficiency
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