1、

So the problem of system reactive power optimization is solved through OPF algorithm.

通过OPF算法求解电力系统无功优化问题.

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2、

Using the remarkable visual data processing function of MATLAB, it describes the shape and essential factors of the optimization problem by geometrical pattern, and makes the optimization model realized and understood deeply.

利用MATLAB出色的数据可视化功能,以几何图形描述优化问题的形态及其要素,以获得对优化模型的直观认识和深入理解。

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3、

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。

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4、

We introduce an improved Adopt algorithm for operating effectively over unreliable communication infrastructure in the context of the Distributed Constraint Optimization Problem ( DCOP).

本文在分布式约束优化问题框架下研究了改进的分布式约束推理算法,使其能有效地运行在不可靠的通信条件下。

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5、

The function optimization and 0-k knapsack problem experiments show that PEA has apparent superior in application area, searching capability and computation time compared with QEA and canonical genetic algorithm ( CGA).

函数优化和0-k背包问题实验表明,与量子进化算法和传统遗传算法相比,概率进化算法在适用范围、搜索能力和收敛速度上有明显的优势。

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6、

Quadratic Assignment Problem ( QAP) is one of the classical combinatorial optimization problems and is known for its diverse applications.

QAP(Quadratic Assignment Problem)问题是经典的组合优化问题之一,广泛应用于许多领域中。

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7、

An improved genetic algorithm ( IGA) is presented for the optimization of utility system which can be described as the problem of nonlinear programming ( NLP).

针对蒸汽动力系统参数优化的整数非线性规划问题(NLP)提出一种改进的遗传算法。

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8、

The global linear compensation was introduced in the pH process with the inverse function of the static nonlinear function in the Wiener model to avoid the problem of nonlinear rolling optimization in PFC, and the computational complexity of the controller was further reduced.

用Wiener模型中的静态非线性函数的逆函数对pH值过程进行全局线性化补偿,避免了预测函数控制中非线性滚动优化的问题,降低控制算法的复杂度。

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9、

Combined with current problem that DPX company are faced, this paper puts forward the guiding principle of DPX supplier management as well as optimization of transformation.

本文根据DPX公司的实际情况以及目前面对的问题,探讨了DPX公司供应商管理的指导原则以及改善和转变的步骤。

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10、

To obtain the best Executive Manufacturing Process ( EMP) for LMP, the multi-objective manufacturing resources optimization deployment problem was modeled considering the operation Cost, Time and machining Quality ( CTQ).

为了对逻辑加工路线配置最优的可执行加工路线,以运行成本、时间和加工质量为目标,建立多目标优化模型;

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11、

The combination of BGW and the MAP works as a MAP of the Hierarchical Mobile IPv6. The BGW will get the information about the MN position and directly send the packets to MN. So solve the problem about route optimization and node congestion.

并且使得边界网关了解移动节点的位置信息,直接将数据包送到移动节点,实现路由优化并解决了MAP的拥塞问题。

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12、

The Optimization Problem of Calibrating the Periodic Errors of Lacoste and Romberg Model "G" Gravity Meter

Lacoste-Romberg G型重力仪周期误差检定的优化问题

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13、

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。

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14、

Professor Ernest S. Kuh attacked this problem from a theoretical background of graph theory, optimization theory and other mathematical tools, and has obtained remarkable results.

葛守仁教授应用图论、优化理论等数学工具,对集成电路的布线进行了理论研究,并已经取得了可喜的成果。

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16、

Ant Colony Optimization ( ACO), which is introduced in this paper because of the ability of resisting combination explosion to NP-hard problem, now is used to solve the problem of DNO.

为此,本文利用蚁群算法对于NP完全问题具有的抵御组合爆炸的能力进行求解该类问题。

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18、

Nowadays the query optimization technique of XML databases has become a hot research topic in database field, and twig pattern matching is an important problem in XML field.

XML数据库的查询优化技术是当前数据库领域中的一个研究热点,而小枝模式匹配又是其中的一个研究重点。

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19、

Under the circumstances of evolutionary stable strategy, we draw making groups of dynamic evolution game trajectory map, in order to solve the problem of green supply chain the core enterprise and supervision department coordination optimization problem.

在演化稳定策略下,绘制决策群体的动态演化博弈轨迹图,为解决绿色供应链核心企业内部和监管部门之间协同优化问题建立基础。

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20、

It can be boiled down to combinatorial optimization problem in mathematics.

这是一种复杂的带性能约束的立体空间布局问题,在数学上可以归结为组合最优化。

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