威廉姆森启发式模型可以给出交易在不同治理结构中分配的一般原则。
The heuristic model that presented by Williamson can distribute transactions along different governance structure.
本文阐述了一个基于动态数学模型及启发式优化策略的连续加热炉计算机控制系统的设计与实施。
The design and implementation of reheating furnace computer control system based on the dynamic mathematical model and the heuristic optimization strategy is discussed in this paper.
基于求解该模型的复杂性，进而提出了相应的两种启发式解法。
Based on the complexity of solving the model, two heuristic algorithm is proposed accordingly.
文章针对基于JIT思想建立的一种批量计划和作业排序集成问题，建立整体模型，设计了一种启发式算法采用集成方法求求解。
A monolithic model of the lot-sizing and scheduling problem based on the JIT strategy has been proposed in this paper, and a heuristic algorithm using integrated method has been designed to solve it.
该模型具有考虑投标的多目标性、承包商的主观判断以及启发式逻辑相结合性以及对过去的工程项目和竞争者数据的低度依赖性等特征。
The established model has many characters, such as multi-objective for bidding, combined subjective opinion with enlightened logic as well as low leanness on data on past project and competitor.
该文介绍了随机决策树分类模型及如何启发式选择随机决策树的深度及棵树，通过实验证明了该算法的有效性和高效性。
This paper introduces the classification model of random decision tree and how to heuristic selected the depth and the number, the experiment shows that the algorithm is effectiveness and efficiency.
建立了线性规划优化模型，提出了一种启发式算法。
Linear Programming optimization model is setup, and a heuristic algorithm is given.
本文建立了一种轧制批量计划问题的数学模型，提出一种改进的两阶段启发式算法，并对其求解。
A mathematic model of the rolling batch heuristics is established in this paper, and an improved two phase heuristics is proposed for the problem.
给出了最优信号控制条件下城市交通离散网络设计问题备用能力的优化模型及其启发式求解算法。
A programming model and the heuristic solution algorithm are proposed to solve the reserve capacity problem of optimal signal control.
给出板坯排序问题的约束满足模型，设计了基于约束满足和启发式混合求解算法。
A constraint satisfaction model is given. A hybrid solving algorithm is designed based on constraint satisfaction and heuristics node exchange algorithm.
针对目前研究较少的双边装配线平衡问题，分析、研究了双边装配线平衡的特点，建立了问题的数学模型，并提出一种有效的启发式算法。
In this study, the characteristics of two-sided assembly line balancing were analyzed and studied, the mathematical model was built, and then an efficient heuristic algorithm was developed.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下，给出了交通网络设计的双层规划模型，同时设计了基于差分的启发式求解算法。
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path, the author presents bilevel planning model for traffic network design.
该系统改进了信息搜索引擎，实现了多线程分布启发式搜索策略，并提出了目标文本模糊搜索空间模型。
A search engine of document information is improved and a heuristic search strategy with multithreading and distributing is implemented. It introduces fuzzy retrieval model on the object documents.
采用双层规划模型描述弹性需求条件下的连续平衡网络设计问题，设计了近似解的启发式算法。
A bilevel programming model and heuristic solution algorithm is proposed to model the continuous equilibrium network design problem with elastic demand.
实验结果表明，与传统的启发式方法相比，基于本文所提出的图论模型而采用的神经网络方法是一种简单、快速、高效的算法。
The experimental results show that the neural network method based on the graph model is an effective algorithm compared with heuristics algorithm.
通过本文提出的配置原则提高了启发式方法的初始方案质量，通过改进配置模型缩少了模拟退火方法的寻优范围，从而提高了求解速度。
Initial placement result from heuristic method is improved by the proposed placement principles, the search scope of SA method is reduced by new placement model, and the calculation speed is improved.
其次介绍了“多元受限的航班时刻优化模型”的理论基础、数学模型、相应的启发式算法。
Secondly, the theory base and mathematic model was introduced along with the corresponding heuristic algorithms of the Multi-Restrict Airline Schedule Optimizat.
运用该阻抗函数建立基于路径的动态用户最优路径选择变分不等式模型，给出了该模型的启发式算法。
A route-based variational inequality model and a heuristic algorithm of the dynamic user optimal route choice problem were proposed by the link travel time function.
利用禁忌搜索技术设计启发式算法对模型求解。
The model was resolved with heuristic algorithm based on Tabu search technique.
应用模拟退火方法并结合启发式算法，给出了求解该模型的一种新方法。
A new approach to solve the problem by combining the heuristic algorithm with simulated annealing approach is presented.
通过对模型的等价转换，设计了拉格朗日松弛启发式算法来求解模型。
Lagrange relaxation heuristic algorithm is designed to solve the model by equivalent transformation.
计算结果表明：所建立的模型符合实际情况，且采用的启发式算法也较有效。
The result shows that the model can be applied into the reality and the algorithm is valid in the problem.
该问题属于一个NP -完全问题，因此设计了构造启发式算法对模型近似求解。
Because the problem was a NP-complete problem, a construction heuristic algorithm was designed to solve the model.
首先建立此问题的数学模型，并采用启发式贪心算法对模型进行求解。
A mathematical model is firstly proposed. Then the greedy heuristic algorithm is applied to solve the model.
为了有效地求解该模型，提出了基于启发式的拉格朗日松弛分解算法。
To solve the model effectively, a Lagrange relaxation decomposition method with heuristic is developed.
为了有效地求解该模型，提出了基于启发式的拉格朗日松弛分解算法。
To solve the model effectively, a Lagrange relaxation decomposition method with heuristic is developed.
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