查询词典 optimization problem

To overcome the shortcomings of existing algorithms, the distributed parallel reactive power optimization algorithm based on sub-area division of the power systems is proposed according to the distributed and decentralized characteristics of the power system. Here, multi-objective function and soft constraints are modeled using fuzzy sets, and the multi-objective reactive power optimization problem is solved by the direct nonlinear primal-dual interior point algorithm.

针对目前无功电压优化算法存在的不足，根据电力系统分布、分散的特点，提出了基于电网分区的分布式并行无功优化算法，并对其进行了多目标、软约束的模糊化处理和离散控制变量的罚函数处理，利用直接非线性原—对偶内点法寻优求解。

Gene Algorithm is an intelligent optimization algorithm, which solves complex combination and optimization problem by simulating the process of natural anagenesis and using simple code and gene operation.

遗传算法是一种新的智能优化算法，通过模拟自然进化过程，利用简单的编码技术和遗传操作高效地解决复杂的组合优化问题。

P-wave AVO inversion is a complicated constrained nonlinear optimization problem, which is better achieved using global optimization methods.

AVO反演是一个非线性优化问题，因此采用非线性的反演方法，其解空间的性质、状态应优于线性反演方法。

First, the formal representation of the search environment is established, the multi-UAV is modeled as a controlled system and the predictive model of the system is presented. Considering the uncertainty of the sensor measurement and the environment, a Search Probability Map is defined and the updating method based on Bayes formula is presented. Based on SPM, information gain is defined to measure the search effects and used to be the optimization object in the predictive horizon. By using of GA, the solution of the optimization problem is got and it is taken as the input of the controlled system.

首先，建立搜索环境的规则描述，然后将多个UAV建模为一个控制系统，建立系统的预测模型，考虑到UAV传感器测量的不确定性和环境自身的不确定性，建立搜索概率图描述搜索环境的不确定性，给出了基于Bayes准则的搜索概率图更新方法，继而基于搜索概率图定义信息增益来衡量搜索效果，并将预测周期内的优化目标定为最大化信息增益，采用遗传算法进行求解，得到最优解作为被控系统的输入。

And describes the mothod how to use matlab optimization tool box to solve parameter optimization problem of circle vibrating screen.

然后描述了如何利用MATLAB优化工具箱解决圆振动筛的参数优化问题的具体方法。

According to the analysis of the characteristics of concurrent tolerance optimization design, it could be regarded as the hybrid variable combinational optimization problem.

通过对并行公差优化设计的分析，将其视为一种混合变量组合优化问题。

Ant Colony Optimization algorithm is a new heuristic algorithm to the combinatorial optimization problem.

蚁群算法是一种新兴的启发式算法。

The Hopfield neural network optimization algorithm is a new and potential approach for combinatorial optimization problem.

用反馈神经网络优化算法求解组合优化问题是一条崭新的、具有很大潜力的途径。

Thecharacteristic and different using limit of both optimization criteria method andmathematics programming method are all analyzed in this paper. OC algorithm and theseries MMA algorithm based on SIMP approach are deducedand used for the topology optimization problem of continuum structure. MMA algorithm hasa bad convergence but it has a high computational efficiency, while GCMMA is excellent onconvergence and stability with bad calculation efficiency.

优化求解算法是拓扑优化问题求解的核心和关键，本文系统分析了适用于离散结构和连续体结构优化的优化求解算法，重点讨论了 OC 算法和 MP 算法，分析比较了不同算法的特点和适用范围，推导了基于 SIMP 理论的优化准则法和 MMA 系列算法，并将MMA 系列算法应用于连续体结构拓扑优化问题的求解。

Under Z-condition and strict pseudomonotonicity assumptions, we establish the equivalences among the equilibrium problem, the least element problem of the feasible set, and a related optimization problem.

在Z-条件及严格单调性假设下，我们得到：均衡问题、均衡问题可行集的最小元问题以及一个相关的优化问题等价。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。