那么结果是一类不同的组合问题,那么，好。
So it's a different kind of combinatorics problem that results. So, OK.
研究了一类流水作业质量检验的机床组合问题。
The problem of the combination of machines for flow shop quality inspection is studied in this paper.
人工智能方法是解决复杂组合问题的有效方法。
Artificial intelligence method is very effective in solving the complex combinatorial problems.
研究了动态用户最优配流与信号控制的组合问题。
The combined dynamic user optimal assignment and signal control are studied.
研究了一类流水作业质量检验的检验设备组合问题。
The problem of the combination of inspection facilities for flow shop quality inspection is studied in this paper.
分类器组合的有效性问题以及最佳组合问题均需要解决。
The effectiveness of classifier combination and the problem of best combination both have to be solved.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
该文针对机组组合问题，提出了一种新的混合粒子群优化算法。
This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
数独是近五年来国际上最热门的组合问题之一，国内研究才刚开始。
Sudoku is a popular combinatorial problem in recent five years, while it just begins to study it in China.
最后，将算法进行改进用于求解考虑机组爬坡速率的机组组合问题。
Finally, the proposed algorithm was improved for solving the unit commitment with ramp rate constrains.
本文以产量模型为基础，探索了不同产量水平下的最低成本组合问题。
On the basis of models of yield we researched the minimum cost combinations in various levels of yield.
文章设计了一种逐次逼近动态规划法，可用于求解水电机组的组合问题。
In this paper, a DP with successive approximation method is designed for solving the hydropower unit commitment problem.
本文提出了将组合问题归结为状态空间搜索问题的数学模型和通用算法。
This paper presents the mathematical model and the general algorithms of transforming combinatorial problem into state space search.
进一步研究了信号控制与道路出口渠化的组合问题及其模型和求解算法。
Furthermore, the model is extended to formulate a combined problem of signal control and channelization at road exits.
母函数在组合数学中有着重要的地位，是解决组合问题的强有力的工具。
Master function has an important status in combinatorics. It is a powerful tool in solving combinatorics problems.
因此，本文对低渗油藏开发井网与水力裂缝系统的优化组合问题进行了研究。
Therefore, the author took Jingan low permeability oilfield as example and studied optimized combination between well patterns and hydraulic fracture systems in this paper.
基于这个认识，本文以程度副词及其与主体词的组合问题作为主要的研究对象。
Based on this knowledge, this essay focus on the degree category and the role it plays in the combination of the main words.
利用随机微分方程理论，对一类具有随机特征的风险投资组合问题进行深入研究。
With the theory of stochastic differential equation, the authors discuss a problem of a class of risk investment portfolio with stochastic character.
进而，本文考察了加入无风险资产后的最优组合问题，并给出了一个例子的求解。
The author also considered the optimum portfolio selection problem with risk-free assets and gave a instance to show how to solve the problem.
这门课程涵盖了不确定情况下（机控制）续决策组合问题的基本模型与解题技巧。
This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty( stochastic control).
本文利用随机动力系统理论研究了大家关心的某些经济问题尤其是资产组合问题。
Some economic problems especially portfolio are studied in this thesis by use of random dynamical system theory.
这就消除了测试传统软件时涉及的很多不同组合问题，大幅度降低了依赖性问题出现的可能性。
This eliminates many of the different combination issues involved in testing traditional software, and significantly reduces the likelihood of dependency problems.
为了有效地解决火电厂机组优化组合问题，作者提出了一种改进的单亲遗传算法。
To effectively solve the unit optimal commitment of power system, an improved parthenogenetic algorithm (IPGA) is presented.
另外，萨玛·瓦尔完全理解了负数的乘法法则，并对排列组合问题也有充分的认识。
Besides, the author understood the rule of negative multiplication completely and studied the problem of permutation and combination deeply.
基于神经网络解决优化组合问题原理，将计算能量函数与罚函数有机地进行了统一。
Based on the theory of solving optimization combination problems by using neural networks, the computational energy functions are united with the penalty functions.
然而，与此同时，选择稍微相似基因的人为配偶也能避免远系繁殖——差异太大的基因组合问题。
At the same time, however, the propensity to choose someone with slightly similar genes can also avoid the problem of outbreeding — the mixing of genes that are too different.
这门课程涵盖了不确定情况下(随机控制)连续决策组合问题的基本模型与解题技巧。
This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control).
随着电力市场的兴起，机组优化组合问题的目标函数和约束条件都发生了重大的变化。
With the rise of Power Market, great changes have taken place in the Unit Commitment problem's objective function and constraints.
描述了基于电信增值业务网格的可控制、可管理、可扩展的服务组合问题，并给出实例。
At last it describes the controllable manageable and scaleable service combination problem based on telecommunication value-added service grid and presents the instances.
文章给出在不确定的荷载需求下机组组合问题的一些常见的随机规划模型和算法的综述。
In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.
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