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首页> 外文期刊>Journal of applied mathematics >Optimality Condition and Wolfe Duality for Invex Interval-Valued Nonlinear Programming Problems
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Optimality Condition and Wolfe Duality for Invex Interval-Valued Nonlinear Programming Problems

机译:区间值非线性规划的最优性条件和Wolfe对偶。

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摘要

The concepts of preinvex and invex are extended to the interval-valued functions. Under the assumption of invexity, the Karush-Kuhn-Tucker optimality sufficient and necessary conditions for interval-valued nonlinear programming problems are derived. Based on the concepts of having no duality gap in weak and strong sense, theWolfe duality theorems for the invex interval-valued nonlinear programming problems are proposed in this paper.
机译:preinvex和invex的概念已扩展到区间值函数。在有凸性的假设下,推导了Karush-Kuhn-Tucker最优性关于区间值非线性规划问题的充分必要条件。基于在弱和强意义上没有对偶间隙的概念,提出了凸区间值非线性规划问题的Wolfe对偶定理。

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