查询词典 optimization problem

Analyzed the similarity between scheme solving problem and traveling salesman problem, the scheme solving problem for conceptual design is transformed into an optimal path problem in combinatorial optimization, where the dynamic programming based solution space model and the longest path based optimization model are developed.

摘要通过分析概念设计方案求解问题与旅行商问题的相似性，将方案求解问题转化为组合优化的最优路径问题，建立了基于动态规划的解空间模型和基于最长路径的优化模型。

There exits several MDO algorithms. But they are in our opinion either nonefficient or complicated. So we devised an algorithm called Subspace Approximation Optimization . In the SAO algorithm, the whole system is decomposed into one system-level optimization and several disciplinary optimizations so that a large and complicated problem can be divided into several easy-solving sub-problems. The coupling relationships and the coordination among disciplines are presented by equality constraints and these equality constraints are assigned to relevant disciplines. The optimums of design variables in system level optimization are transferred to discipline level optimization. The optimums of design variables in discipline level correspond to the point that is the nearest to the optimums of design variables in system level. If the optimums of design variables in system level are out of feasible region of discipline 1eve1, linear constraints can be built in the system level optimization using the design variable optimums obtained by the discipline level optimization. The system level optimization would improve the design of the whole system with these linear constraints.

目前，国内外已经发展出了多种飞机多学科设计优化算法，本文的重点是针对协同优化算法的不足，提出了子空间近似优化算法(Subspace ApproximatingOptimization，SAO)，SAO算法中，整个系统的优化问题被分解成一个系统级优化和若干学科级优化，而各个学科之间的耦合与权衡关系则被当作等式约束，这些等式约束将被分配到各个学科级优化中去，系统级优化的任务是寻找整个系统的最优解，而学科级优化的目标函数是以系统级优化分配下来的设计点为圆心的超球半径的平方，因此，如果系统级优化分配下来的设计点在学科级优化可行域内，则学科级优化目标函数为0，反之，则学科级优化的最优点是系统级优化当前设计点距离可行域最近的点。

Using natural frequency ratio and damping ratio as design variables, constructing an objective function with the peak values of dynamic magnification factor and the dynamic magnification area of the main system in the whole frequency band, the optimization problem is built.

建立了以固有频率比和阻尼比为设计变量，以振幅动力放大系数函数的多个峰值和整个宽频带下面积构造目标函数的优化问题。给出了两个自由度减振器参数的优化计算实例。

The formulation of OYOD transformer s phase sequence adjustment is a combinatorial optimization problem with non-linear and non-differential objective function.

针对OYOD变压器相序调整是一个组合非线性及不能微分目标函数的最优化问题，提出用蚁群算法来求解OYOD变压器的相序调整问题，以提高负载平衡能力，同时提出一种变信息素挥发系数的方法以提高算法解的质量和收敛速度。

In this paper, an unsupervised learning mechanism based on ant colony pheromone is designed for the function optimization problem.

为了克服Memetic算法的这一缺点，针对函数优化问题提出了一种基于蚁群信息素的无指导的学习机制，并在此基础之上构造了基于信息素模因的克隆选择算法。

An adaptive genetic algorithm in conjunction with multi-population genetic strategy, entropy-based searching technique with narrowing down space and the quasi-exact penalty function was developed to solve the optimization problem. The proposed method culd successfully balance the efficiency against precision, and close the optimal solution quickly and stability.

一个自适应的遗传算法被用于求解上述优化模型，该算法采用多种群遗传策略、信息熵控制的空间减缩搜索技术以及拟精确罚函数方法，较好地平衡了效率与精度之间的关系，从而能够快速而稳定地逼近最优解。

For a variety of hybrid flexible flowshop process route of the problem of production scheduling, analysis of production process planning and shop scheduling system integration principle, set up the target model, by a simple genetic algorithm to improve, in the integrated model set up based on the algorithm research, put the post-evolutionary genetic algorithm and improved simulated annealing algorithm an organic combination of algorithm optimization mechanism to enable the integration and optimization of the structure complement each other to form a more efficient hybrid optimization algorithm, and to solve the problem.

针对混合柔性流水车间多种工艺路线的生产调度问题，分析了生产工艺计划与车间调度系统的集成原理，建立目标模型，通过将简单遗传算法加以改进，在建立集成模型的基础上，对算法进行研究，把进化后的遗传算法和改进的模拟退火算法有机结合，使算法优化机制融合和优化结构互补，形成较为高效的混合优化算法，并对问题进行求解。

A genetic algorithm based on self-adaptive weight is proposed and applied to solve the reactive power optimization problem.

在求解方法上，采用基于自适应权重的遗传算法求解。

A kind of quatratic programming technique,Potential Reduction Algorithm,is used for solving the optimization problem.

本文利用二次规划方法，讨论对神经网络训练样本的吸引半径的优化问题，并借用二次规划中的PRA算法求该优化解，得到一种新的神经网络基于规划的学习算法。

The ab initio prediction of protein structure is to solve a global optimization problem per se, in which the first step is to build a mathematical model.

利用氨基酸序列预测蛋白质结构可以归结为一个复杂系统的全局优化问题，建立一个合理的预测模型是关键性的第一步。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新