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A Filled Function Method For Constrained Nonlinear Integer Programming

机译:约束非线性整数规划的填充函数方法

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摘要

A filled function method is presented in this paper to solve constrained nonlinear integer programming problems. It is shown that for a given non-global local minimizer, a better local minimizer can be obtained by local search staring from an improved initial point which is obtained by locally solving a box-constrained integer programming problem. Several illustrative numerical examples are reported to show the efficiency of the present method.
机译:提出了一种填充函数方法来解决约束非线性整数规划问题。结果表明,对于给定的非全局局部最小化器,可以通过从改进的初始点进行局部搜索凝视来获得更好的局部最小化器,该改进的初始点是通过局部解决盒约束整数规划问题而获得的。报告了几个说明性的数值示例,以显示本方法的效率。

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