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optimization problem相关的网络例句

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Parametric evaluation function can condense the complicated multi-objective and multi-constrait problem into a single-objective unconstrained problem, then solved with conjugate gradient method.The parametric evaluation function method decreases the optimization difficulty,and makes the solution away from the boundary of feasible region during the optimization process,which makes all the objectives optimized simultaneously.

参数评价函数把复杂的多目标多约束优化问题转化为单目标无约束问题,然后用共轭梯度法进行求解,不但降低了求解难度,而且使得在优化过程中其解远离可行域的边界,保证了对多目标中所有目标同时进行优化。

Firstly, according to the difficulties in the optimization of chemical engineering and the intrinsic disadvantage of deterministic optimization algorithms, this work analyzed the importance and advantage of stochastic algorithms, and proposed some important aspects in research on them. Secondly, genetic algorithm was applied to two problems of data driven modeling, one of which was combination problem, the other was mixed integer nonlinear programming. Thirdly, systemic investigations were made on the basic structure, dynamic behavior and modifications of particle swarm optimization. Lastly, two kinds of proposed PSO algorithms were applied on calculation of phase equilibrium, which is nonconvex optimization.

本文首先根据化工优化中存在的困难和确定性优化算法内在的缺点,分析了随机优化算法的重要性,并提出研究随机优化算法应注意的问题;其次,将遗传算法应用于两个数据驱动建模问题,一为组合优化问题,一为混合整数优化问题;再次,从粒子群优化算法的基本结构、运动行为、改进方法做了系统的研究:最后,将提出的两种改进粒子群优化算法应用于相平衡计算问题,为非凸全局优化问题。

All of these applications show that study on conic optimization is necessary. For detail, we conclude them as follows:The models, foreign and internal study situations on conic optimization and its dual problem are introduced in Chapter one, and we point out the key problem and research matter.Chapter two introduces some primary properties of a cone and its dual cone.

第二部分是应用实践:将所提出的锥规划及其对偶锥规划应用在各个领域,例如最小二乘问题、多项式求解、协方差矩阵估计,以及在其它方面的运用,这些应用无不显示出研究锥规划的必要。

An optimization method is proposed to solve steady-state optimization problems by linear approximation of the object function and the Linear Matrix Inequalities Problem and Eigenvalue Problem of Linear Matrix Inequalities theory.

提出了将稳态优化问题的目标函数进行线性逼近及用可行性问题求解算法和特征值问题求解算法进行求解的优化方法。

An optimization method is proposed to solved steady-state optimization problems by quadratic approximation of the object function and the Linear Matrix Inequalities Problem and Eigenvalue Problem of Linear Matrix Inequalities theory.

提出了将稳态优化问题的目标函数进行二次逼近及用可行性问题求解算法和特征值问题求解算法进行求解的优化方法。

The 5th chapter studied the crucial problem of floating detection application, develop the traffic flow information collection technology based on GPS, put forward the general principle and optimization method of the floating detection minimum sample size, and simulate several sample size scenarios of floating detection on the city road with the microscopic simulation software The 6th the combination application optimization of the dynamic traffic flow information collection technology, put forward the necessariness of combination application optimization, then analysed the principle and work steps of combination application optimization design, finally gived an example for the combination application optimization.

第五章是移动型检测器应用的关键问题研究。本章对移动型检测器的空间布置问题进行了研究,设计研究了基于GPS的动态交通流信息采集技术,提出了移动型检测器最小样本量确定的一般原则和方法,并利用微观仿真模拟软件进行了模拟分析。第六章是动态交通流信息采集技术组合应用优化设计研究。本章首先提出了进行动态交通流信息采集技术组合应用优化设计的必要性,然后分析了组合应用优化设计的原则,设计了组合应用优化设计的工作步骤,并举例分析了动态交通流信息采集技术组合方案的优化设计方法。

The 5th chapter studied the crucial problem of floating detection application, develop the traffic flow information collection technology based on GPS, put forward the general principle and optimization method of the floating detection minimum sample size, and simulate several sample size scenarios of floating detection on the city road with the microscopic simulation softwareThe 6th the combination application optimization of the dynamic traffic flow information collection technology, put forward the necessariness of combination application optimization, then analysed the principle and work steps of combination application optimization design, finally gived an example for the combination application optimization.

第五章是移动型检测器应用的关键问题研究。本章对移动型检测器的空间布置问题进行了研究,设计研究了基于GPS的动态交通流信息采集技术,提出了移动型检测器最小样本量确定的一般原则和方法,并利用微观仿真模拟软件进行了模拟分析。第六章是动态交通流信息采集技术组合应用优化设计研究。本章首先提出了进行动态交通流信息采集技术组合应用优化设计的必要性,然后分析了组合应用优化设计的原则,设计了组合应用优化设计的工作步骤,并举例分析了动态交通流信息采集技术组合方案的优化设计方法。

In this paper, we describe the use of the ant colony optimization algorithm to solve the shortest superstring problem, which highlights a way for applying stochastic optimization methodologies to solve problem in bioinformatics.

而最短超字串问题可视为一个汉米尔顿回路[27],TSP问题又为汉米尔顿回路中的一个特例,因此,本研究试图利用蚂蚁演算法来解最短超字串问题,并实验及探讨其对此问题的影响,以及其所求之最佳解的品质。

Some methods aiming at the two problems have been researched. First, the optimal number of ATE site can be calculated based on a cost model of DAT-ATE. Second, the problem of test schedule which is equitant with two-dimensional Bin-Packing problem is presented. Then a TCG denotation satisfied with T-admissible rule is more convenient for combinational optimization. With Simulated annealing algorithm, better test scheduling results can be achieved; but there is no great optimization space because the efficiency of scheduling is greater than 90%. Third, A novel test compression method——Multi-capture testing is proposed to compress the stimuli. And the ATPG results show that MC achieves high compression ratio which is greater than 90% in some large-scale circuits. MISR, widely used in LBIST, is employed to compress the responses. The aliasing analysis demonstrates that the fault coverage reduction is little due to the existence of aliasing. Fourth, an improved TIC (called S-TIC) aiming at structured test is proposed based on ARM's TIC. A MC scheduling algorithm is proposed to compute the SoC test time and combine MC vectors to SoC test vectors. The scheduling results shows that test time is greatly reduced when using the proper scheduling priority.

首先,给出了低成本ATE的成本模型,根据此模型得到最低测试成本时系统级测试调度的基本参数——测试Site数;其次,本文将DAT-Scan方式的SoC测试调度等价为两维BP问题,为有效地求解该问题,将该BP问题表示为TCG图并通过模拟退火算法解决其求解过于复杂的问题,调度的结果表明该方法在测试时间上有一定改善,并指出DAT-Scan测试调度效率已经大于90%,进一步优化的空间较小;第三,本文尝试通过测试压缩来解决激励所需的测试带宽,提出了Multi-capture结构并解决了MC测试过程中的&矢量&退化问题,MC测试的ATPG结果表明其测试压缩率很高(大电路接近90%);第四,在激励获得很高压缩比的情况下,测试响应也需压缩,本文采用LBIST中常用的MISR作为MC测试的响应压缩电路,理论分析和实验结果都证明了MC测试的别名对故障覆盖率影响较小(小于2%),并对两类别名的成因做了具体分析;第五,在MC测试及其响应压缩的基础上,本文改进了ARM公司的测试控制器TIC使之适合于MC测试,为了解决MC测试矢量合成问题,本文抽取了MC测试模型,通过固定优先级的MC测试调度模拟将MC矢量合成为ATE矢量,并模拟出了总的MC测试时间。

A single machine scheduling problem with batchs setup time depending on sequence is proposed. The math model to minimize setup times is upbuilt. An improved adaptive hybrid genetic algorithm is brought up for solving this scheduling problem. Several operators are redesigned according to the characteristic of this scheduling problem. Follow job optimization recombination crossover is advanced for transmitting the good character to the offspring. To improve the mountain climbing ability of the genetic algorithm, the mutation is replaced by a local optimization algorithm.

提出了一种具有序依赖setup time的单机器批量生产调度问题,以总的setup time最小为目标建立了该生产调度问题的数学模型,设计了一种改进的自适应混合遗传算法求解该生产调度问题,对遗传算法的交叉和变异算子均按照该调度问题的特点进行了改进,提出一种&紧后任务选优重组交叉算子&,该算子能将调度排序上的优良性状很好地遗传到下一代群体中。

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