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Global Convergence Of A Tri-dimensional Filter Sqp Algorithm Based On The Line Search Method

机译:基于线搜索法的三维滤波Sqp算法的全局收敛性

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摘要

In this paper, we propose a new filter line search SQP method in which the violations of equality and inequality constraints are considered separately. Thus the filter in our algorithm is composed by three components: objective function value, equality and inequality constraints violations. The filter with three components accepts reasonable steps flexibly, comparing that with two components. The new filter shares some features with the Chin and Fletcher's approach, namely the "slanting envelope" and the "inclusion property". Under mild conditions, the filter line search SQP method is proven to be globally convergent. Numerical experiments also show the efficiency of our method.
机译:在本文中,我们提出了一种新的过滤线搜索SQP方法,其中分别考虑了对等式和不等式约束的违反。因此,我们算法中的过滤器由三部分组成:目标函数值,等式和不等式约束违例。与两个组件相比,具有三个组件的过滤器可以灵活地接受合理的步骤。新的过滤器与Chin and Fletcher的方法具有一些共同点,即“倾斜包络”和“包含属性”。在温和的条件下,滤波线搜索SQP方法被证明是全局收敛的。数值实验也证明了我们方法的有效性。

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