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optimization problem相关的网络例句

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与 optimization problem 相关的网络例句 [注:此内容来源于网络,仅供参考]

Since the model is a large scale and NP-hard combinational optimization problem in the real navigation environment, a hybrid simulated annealing algorithm is employed to search the suboptimal solution composed of a lockage timetable and a ship scheduling, The search starts by trimming the existing lockage timetable based on heuristic rules; the result is then used to compute the ship scheduling by the depth-first-search algorithm. The obtained solution is finally updated by the Metropolis rule.

本文首先提出了该问题的混合整数非线性规划模型,在实际通航调度环境中,该模型属于强NP-hard复杂度的大规模组合优化问题,因此设计了一种混合模拟退火算法来搜索次优化调度方案,该算法将解分解为闸次时间表和船舶调度计划两部分,在搜索过程中用启发式规则对闸次时间表进行调整,然后用深度优先搜索算法根据闸次时间表求解船舶调度计划,最后根据Metropolis规则对当前解进行更新。

In this paper, the choice of route logistics, logistics and distribution path selection main consideration is the path optimization problem.

本文研究物流配送路径的选择问题,物流配送路径的选择问题主要考虑的是路径的优化问题。

On the basis of the researching the neural network theory, presenting the neural network model (N-SearCut model) for searching for minimal cutset of a graph, proving the stability of this model, analyzing the dynamic behavior of this model, deducing a series of corresponding theorems and affording an academic fundaments for solving optimization problem based on this model.

在研究人工神经元网络理论基础之上,提出了搜索图最小割集的神经网络模型——N-SearCut模型,证明了该模型的稳定性,分析了该模型的动态特性,导出了一系列的定理,为运用该模型进行优化问题的求解提供了理论依据。

From Chapter 5 to 6, A new nonsymmetric neural network has been given for solving minimax optimization problem.

针对最小覆盖球问题,给出了一种新的非对称神经网络模型。

The penalty function method and modified Newton iteration method are adopted to solve the constrained nonlinear optimization problem.

基于截面特征的反求工程CAD建模方法已成功应用于基于特征的反求工程CAD建模系统RE-SOFT中,结合一个反求工程建模实例论证了该方法的可行性和适用性。

Dynamic programming is a way of thinking to solve the optimization problem of multi-stage decision-making.

动态规划是解决多阶段决策最优化问题的一种思想方法。

The objective function available in the literatures lead to a nonlinear optimization problem.

现有文献中所用的目标函数导致的是一个非线性最优化问题。

With the primary goal function, the optimization problem is changed to a nonrestraint one.

在无约束优化过程中,通过逐步增大罚因子,使无约束优化问题的解逼近原约束优化问题的解,用随机搜索优化方法得到了拱坝的优化体型。

In order to achieve accurate solutions of ill-conditioned GPS equations with a few observational epochs, the ill-conditioned normal equations of GPS rapid positioning was transformed as a function optimization problem. Then genetic algorithm was used to calculate parameter solutions, which avoided the inversion of coefficient matrix of normal equations.

为准确解算仅有少数几个历元的GPS载波相位观测数据的病态定位方程,将GPS快速定位的病态法方程求解问题转化为一个函数优化问题,应用遗传算法求解病态方程,避免了法方程的求逆运算,从而可以得到参数的近似最优解。

Formerly, there were many methods which belong to operational research and decision making to solve multi-objective optimization problem.

过去在运筹学、决策学等学科涌现了很多方法,用于求解多目标优化问题。

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