Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.
配电网重构是一个多目标、 多约束、离散的非线性组合优化问题。
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.
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。
It takes the network training process as to solve a nonlinear optimization problem. The network weights are optimization variables and prior-knowledge is the constraint.
算法将网络训练看成是求解一个优化问题，网络权是优化变量，而先验知识则是优化问题中的约束项。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
将基于格雷码的遗传算法用于求解结构的混合离散变量非线性约束优化问题。
The algorithm converts the nonlinear searching into the constraint on present control increment and avoids the complicated nonlinear optimization. The computation burden is not very serious.
该算法将非线性搜索转化为只对当前控制增量的约束，避免了非线性优化求解，并不需要很多的计算量。
The algorithm converts the nonlinear searching into the constraint on present control increment and avoids the complicated nonlinear optimization. The computation burden is not very serious.
该算法将非线性搜索转化为只对当前控制增量的约束，避免了非线性优化求解，并不需要很多的计算量。
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