Linear programming is a tool for solving optimization problems.
线性编程是一个用来解决优化问题的工具。
Minimax problem is a kind of important optimization problems.
极小极大问题是一类重要的非光滑优化问题。
There will be no optimization problems with accesses to that data.
那么在访问这些数据时不会有优化的问题。
It can be applied to solve in many combinatorial optimization problems.
它能应用到求解许多组合优化问题。
The assignment problem is a kind of combinatorial optimization problems.
分配问题是一个组合优化问题。
A method for dynamic multi-objective optimization problems (DMOPs) is given.
给出了动态多目标优化问题的一种新解法。
The VRP and the network flow problem are all famous network optimization problems.
车辆路径问题和网络流问题都是非常著名的网络优化问题。
This and the other optimization problems you'll look at might have more than one solution.
这种最优化问题和其他最优化问题的解可能不止一个。
The maximum flow problem is one of the classical combinatorial optimization problems.
最大流问题是一个经典的组合优化问题。
In this paper, we consider the nonlinear inequality constrained optimization problems.
在本文中，我们考虑非线性不等式约束优化问题。
This characteristic can be successfully used to solve combination optimization problems.
这一特性可成功地应用于解决组合优化问题。
Many optimization problems involve determining efficient methods for reasoning about graphs.
许多优化问题都需要确定有关图推理的高效方法。
Conjugate gradient methods are important iterative methods for solving optimization problems.
共轭梯度法是求解最优化问题的一类有效算法。
To solve complex constrained optimization problems, we propose a new immune-genetic algorithm.
提出一种新的求解复杂约束优化问题的免疫遗传算法。
There exists many design and optimization problems in network, and parts of them belong to NP type.
网络中存在许多设计和优化问题，其中相当一部分属于NP类型。
Bacterial chemotaxis optimization is a novel category of bionic algorithm for optimization problems.
细菌趋药性算法是优化领域一种新的仿生进化算法。
In this thesis, we study two related problems: convex optimization problems and equilibrium problems.
凸优化问题与平衡问题密切相关，本文对这二类问题进行研究。
Many practical engineering problems can be abstracted to corresponding function optimization problems.
许多实际工程问题可以抽象为相应的函数优化问题。
Vector optimization problems with control parametra are considered under generalized convexity condition.
在广义凸条件下，研究了带控制参量的向量优化问题。
Finally, we study feasibility and optimality conditions for optimization problems with equilibrium constraints.
第三部分，研究平衡约束优化问题的可行性和最优性条件。
Once computers are equipped with semantics, they will be capable of solving complex semantical optimization problems.
一旦电脑具备了语义功能，它们就有能力解决复杂的语义最优化问题。
The system optimization problems with parameter uncertainty and some applications are studied in the dissertation.
本论文主要是研究参数的不确定系统的优化问题及一些应用。
Taking complex industry process control as background, this research focuses on optimization problems of fuzzy systems.
本研究是以复杂生产过程为背景，在模糊系统优化领域开展的专项研究。
On the basis of current GRASP, presents an advanced GRASP to solve assembly workshops scheduling optimization problems.
在已有GRASP的基础上，提出一种改进GRASP来解决装配车间调度优化问题。
Optimization problems often emerge in many fields, such as engineering design, science research and economic management.
最优化问题是工程设计、科学研究、经济管理等众多领域经常遇到的一类问题。
SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.
模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。
This class, taught by the guest speaker, is devoted to the optimization problems underlying the implementation of Support Vector Machines.
这堂课将由授课的特别来宾讲解构成向量机执行基本原理的最佳化问题运用。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
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