optimization problem的例句大全

A new gradient descent algorithm for unconstrained optimization problem is proposed.

提出了一种新的无约束优化下降算法.

After analyzing the structure property of the established optimization problem, we derive its explicitly optimal solution.

在分析所建立模型结构特性的基础上, 文中还导出了该模型的解析最优解.

It is only used for solving inequality constrained optimization problem.

它仅用于求解不等式约束优化问题.

Bilevel optimization problem is a basic form of hierarchical level optimization problems.

双层优化问题是递阶多层次优化问题最基本的形式.

An equation or inequality relating the variables in an optimization problem.

问题中,一种表示若干变量相互关系的方程(式)或不等式.

Ant Colony Optimization Algorithms ( ACOAs ) were appropriate for this optimization problem.

本文引入一种全新的寻优算法-蚁群算法.

The non-smooth optimization problem is transformed into a smooth one.

该方法将 非 光滑优化问题转化为光滑优化问题.

Transmission network expansion planning is a complicated, nonlinear, large-scale combinatorial optimization problem.

输电网扩展规划是复杂的大规模非线性组合优化问题.

The optimization problem is solved by linear programming technique.

其中引入了线性数学规划方法求解最优化问题.

This paper proposes a hybrid optimization algorithm to combinatorial optimization problem.

基于鱼群算法和蚁群算法提出一种混合优化算法用于求解组合优化问题.

Locomotive working diagram is a multi-constraint combinatorial optimization problem.

机车周转图的编制是多约束条件的组合优化问题.

FEM is the most wide-used structural response analysis technology for structural optimization problem.

在结构优化设计中,有限元方法(FEM) 是一种应用最为广泛的结构响应分析技术.

Genetic algorithm plays an important role in solving global optimization problem.

遗传算法在解决全局优化问题中起着重要的作用.

In the estimation, the key is solving a non-smooth optimization problem.

黄金分割方法可直接用于求解一致基本矩阵估计中的 非 光滑优化问题.

Redundancy allocation is a combinatorial optimization problem of system design.

冗余分配是系统设计中的组合优化问题.

The optimal solution of the optimization problem which is the minimal decending step of ranking functions can be used to compute accurate complexity bound of program.

最优化问题的最优解给出了线性秩函数递减的最小步长，因而可以进一步应用于计算循环精确的符号化复杂度上界。

To the problem of multi-constraint and multi-target optimization in learning fuzzy model, TSK fuzzy model is decomposed of twain different species. The method of learning the model by cooperative coevolution is proposed.

针对TSK模糊模型的学习是多约束和多目标优化问题，提出将TSK模糊模型分解为两类不同的种群，协作共同进化的模型学习方法。

Automated coverage optimization scheme based on combined multi-parameter adjustment can not only solve comprehensive coverage abnormal problem, but also have a great significance for improving coverage capacity performance of network.

基于多参数联合调整的覆盖自优化方法不但能解决解决综合性的覆盖问题，而且对于提高覆盖容量和改善网络性能指标均有重要意义。

The quadratic assignment problem ( QAP ) is one of the great challenges in combinatorial optimization.

二次指派问题是组合优化领域最大的挑战之一.

The system includes building the geometric database of the missile configuration, computing the aerodynamic performance and RCS ( Radar Cross Section), and handling the multi-objective optimization problem.

该优化系统主要包括，对导弹外形的几何数据处理，对导弹气动特性和雷达散射面的分析计算，以及对多目标优化问题的处理。