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Optimality Conditions for Multiobjective Programming under Generalized Uniform (V, η)-type I Symmetrical Invexity
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Abstract
Multi-objective optimization is a major branch of the optimization category. On the basis of (V, η)-I symmetric invariant convex functions, the concept of generalized uniform (V, η)-I symmetric invariant convex function is proposed. Which is generalized uniform (V, η)-I type. Under the new generalized convexity hypothesis, several optimality sufficient conditions for multi-objective programming are proved.
Title: Optimality Conditions for Multiobjective Programming under Generalized Uniform (V, η)-type I Symmetrical Invexity
Description:
Abstract
Multi-objective optimization is a major branch of the optimization category.
On the basis of (V, η)-I symmetric invariant convex functions, the concept of generalized uniform (V, η)-I symmetric invariant convex function is proposed.
Which is generalized uniform (V, η)-I type.
Under the new generalized convexity hypothesis, several optimality sufficient conditions for multi-objective programming are proved.
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