本文我们考虑求解边界约束优化问题的一个仿射尺度算法。
In this paper, we consider an affine-scaling algorithm for the bound constrained optimization problem.
一次只尝试放松每个边界约束一个单位，解决修改后的问题，看一下目标函数的优化值发生了什么变化。
Try relaxing the value of each bounded constraint one at a time, solve the modified problem, and see what happens to the optimal value of the objective function.
边界约束阻碍了目标函数达到更为优化的值。
A bounded constraint prevents the objective function from reaching a better value.
对一类带有非负边界约束的线性不等式约束优化问题进行了研究，提出了一种新的信赖域算法。
We propose a new trust region algorithm for special linear inequality constrained optimization problems with nonnegative bound constraints.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
对于其中的非线性约束采用活动约束集的概念，而对于线性边界约束，则按约束优化方法中的梯度投影法作专门处理。
The active constraint set was introduced in the nonlinear constraints of the optimization, meanwhile the project gradient method was used to treat the linear boundary constraints.
把BFGS方法与混沌优化方法相结合，基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。
Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.
把BFGS方法与混沌优化方法相结合，基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。
Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.
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