查询词典 optimization problem

A eugenic evolution strategy genetic algorithm,which integrates random evolution operation and deterministic optimization operation,is adopted in this paper to realize global optimization in high efficiency.

采用优进遗传算法，将确定性与随机性寻优操作相融合，实现了高效全局搜优，它所基于的优进策略包括设计Powell寻优算子、改进交叉算子、自适应地调整交叉率和变异率等。

A compliant microgripper numerical example is simulated to show that reliability-based topology optimization yields mechanisms that are more reliable than those produced by deterministic topology optimization and also certificate the validity of the proposed method.

最后以柔顺微夹钳的可靠性拓扑优化为例，说明本文所提方法的正确性和有效性，研究结果表明基于可靠性拓扑优化所得机构比确定性拓扑优化所得机构更合理。

Basic ant colony algorithms are intelligentized. Based on the intelligentized algorithms and Matlab, simulation regarding optimization of benzene-toluene flash vaporization process is made. The simulation result shows that the amount of benzene in vapor phase product reaches the maximum on the condition of effective adjustment of temperature, pressure and diffluence coefficient and the production process is optimized. It is also proves that the intelligentized algorithms are practical in optimization of chemical production process.

对基本蚁群算法进行了智能化改进，并运用智能蚁群算法和Matlab语言，对化工生产过程中的实际优化问题，苯-甲苯闪蒸过程进行了优化仿真计算，仿真结果表明，在有效地调整温度、压力及分流系数的条件下，使得汽相产物中苯的产量达到最大，实现了苯－甲苯闪蒸过程的最优化，同时也证明了蚁群算法可以有效地解决化工生产过程中的优化问题。

A nonlinear predictive functional control algorithm using Hammerstein models has been developed. The characteristic of this strategy does not need nonlinear optimization that is replaced with linear optimization. Prediction of process output is calculated directly by parameters of model and does not require solving the Diophantine equation.

本文提出了基于Hammerstein模型的非线性预测函数控制，该算法的特点只需进行线性寻优而不需要进行非线性优化，同时过程的预测输出只需应用模型参数直接计算得到而不需要求解Diophantine方程。

You can apply the genetic algorithm to solve a variety of optimization problems that are not well suited for standard optimization algorithms, including problems in which the objective function is discontinuous, nondifferentiable, stochastic, or highly nonlinear.

你可以应用遗传算法来解决一些不适合标准最优化算法的优化问题。这些问题包括：目标函数不连续，不可微分，随机，或者高度非线性

Compared with the common optimization design, the mixed discrete variable optimization method has been widely used in the area of machine design.

在机械优化设计中，混合离散变量优化方法得到了广泛的应用，具有较高的工程应用价值。

With the RNA secondary structure prediction and the characteristics of particle swarm optimization,a new model of discrete particle swarm optimization is presented.

根据RNA二级结构预测问题实质和基本粒子群优化算法特性，提出一种离散粒子群优化算法模型。

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。

The theory, methodology and application of engineering mixed discrete optimization problems are the most attractive branch of modern optimization technique.

工程混合离散变量优化理论、方法与应用，是近代优化设计技术发展的一个非常有实际意义的新分支。

After having an analysis on uncertain optimization problems, the thesis introduces the research results of Ben-Tal and Bertsimas, and mainly has a detail discription on robust linear programming and robust discrete optimization.

论文在对不确定优化问题分析的基础上，对鲁棒优化研究的代表人物Ben-Tal和Bertsimas的研究成果进行了总结，重点对鲁棒线性规划和鲁棒离散优化进行了阐述。

Now she was hungry and angry.She began to smoulder.

现在她又饿又气，她开始流露难以抑制的怒火。

You have placed our iniquities before You, Our secret sins in the light of Your presence.

诗90：8 你将我们的罪孽摆在你面前、将我们的隐恶摆在你面光之中。