penalty function algorithm
英 [ˈpenəlti ˈfʌŋkʃn ˈælɡərɪðəm]
美 [ˈpenəlti ˈfʌŋkʃn ˈælɡərɪðəm]
网络 罚函数算法
双语例句
- Based on the factor of self-adaptive weight sum and self-adaptive penalty function, a self-adaptive genetic algorithm is proposed and applied to solve multi-objective reactive power optimization.
引入了自适应权重和因子及自适应罚函数的概念，提出了一种自适应遗传算法，将其应用于多目标无功优化问题的求解中。 - A New Adaptive Penalty Function Based Algorithm for Solving Constrained Optimization Problems
一种新的自适应惩罚函数算法求解约束优化问题 - In order to decrease the complexity of the model, penalty function algorithm is used to remove one constraint, then modified simulation anne aling ( SA) algorithm is used to solve the model.
为了进一步降低模型复杂度，采用罚函数的方法简化问题模型，用改进的模拟退火算法进行求解。 - Penalty Function Algorithm for Solving the Constrained Optimal Control Problem
木工专用磨头电动机约束最优控制问题的磨光罚函数算法 - First newly object function is constructed with penalty function, then applying immune algorithm to solving.
具体方法是：首先引入罚函数构造新的目标函数，而后运用免疫算法进行求解。 - A new algorithm for reactive power optimization problem involving both discrete and continuous variables is presented, which incorporating a penalty function into the nonlinear primal-dual interior point algorithm.
针对无功优化计算中离散变量和连续变量共存问题，提出用直接非线性原&对偶内点法内嵌罚函数的新算法。 - Secondly, aiming at solving the Vehicle Routing Problem with Time Window, the paper formulates a mathematical model with a time penalty function, which is solved by the Genetic Algorithm.
其次，在配送车辆优化调度研究中，本文针对有时间窗的车辆调度问题，建立了含有时间惩罚函数的数学模型，并采用遗传算法进行求解； - There are many classical solution methods for bilevel programming such as culmination searching algorithm, branch and bound algorithm and penalty function algorithm.
对于二层规划问题有许多经典的求解方法，如极点搜索法、分支定界法和罚函数法等。 - Then, an exact penalty function algorithm, on the basis of equivalent problem of lower-level programming problem and of the discussion of choosing initial value of and increasing in penalty factor, is given with its finite termination being proved.
利用下层问题的一个等价命题设计了一种精确罚函数法，讨论了罚因子的选取及其自适应增加机制，并证明了该算法的有限终止性； - The convergence, robustness, optimum and computing speed of Hopfield-Tank are analyzed. And then, according to extemal penalty function, a new fast neural network algorithm based on Hopfield-Tank model is proposed.
分析了Hopfield－Tank模型在收敛性、稳健性、优化率以及计算速度方面存在的问题，根据外部惩罚函数法的基本思想提出了一种新的基于Hopfield－Tank模型的快速神经网络方法。 - This Paper presents a new evolutionary algorithm for solving nonlinear constrained optimization problems based on particle swarm optimizer ( PSO). Dynamic penalty function is adopted in this algorithm to transform the constrained optimization problems into unconstrained optimization problems.
通过对标准微粒群算法（PSO）改进，采用动态罚函数的方法，提出了一种求解非线性约束优化问题的新算法。 - A new hybrid genetic algorithm is obtained by combining the traditional penalty function algorithm and feasible direction algorithm with the genetic algorithm.
将传统的求解约束NLP问题的罚函数法和可行方向法同遗传算法结合，得到一种新的混合遗传算法。 - Non-parameter Penalty Function Multi-Objective Orthogonal Genetic Algorithm for Nonlinear Programming Problem
解非线性规划问题的非参数罚函数多目标正交遗传算法 - Penalty function algorithm is used in this paper and the initial values are obtained by equivalent circuit method.
本文采用罚函数优化方法，优化时器件尺寸的初始值通过等效电路法求出。 - Penalty Function Algorithm of Solving Objection Function Controlled Trilevel Linear Programming
求目标控制型线性三级规划的罚函数法 - Results of optimization are discussed and compared with that of mixed penalty function algorithm.
对寻优结果作分析讨论，并与混合罚函数法优化结果作了比较。 - Lastly, a practical optimum design is made by penalty function method and Genetic Algorithm, in which uncoupling of energy and minimum of reactive force at mounts 'location and robust design are multi-objective functions.
最后，以系统解耦、降低动反力（矩）和稳健性为综合设计目标，运用惩罚函数法和遗传算法对动力总成悬置系统进行了优化设计。 - Based on penalty function algorithm of contact problem and direct integral algorithm for nonlinear dynamic theory, the pressing assembly of tooth fitting is simulated, showing the variation of press stress on hole wall in assembly process.
基于接触面的罚函数算法，采用非线性动力分析的直接积分理论对牙齿冷压过盈装配过程进行了计算仿真，模拟了孔壁压应力在冷压装配中的变化过程； - The penalty function method was built to transform a constrained continuous minimax algorithm into a bi-level programming problem, and the convergence of the algorithm was proved.
建立了针对带约束连续型minimax问题的罚函数法，从而将其转化为无约束两层规划问题，并证明了算法的收敛性； - Hyperbolic Cosine Penalty Function Algorithm
双曲余弦罚函数法 - On the other hand, the recognition of unknown elements is done by penalty function algorithm, the convergence speed is improved greatly.
另外，在对未知元素进行辨识时，采用了改进的罚函数算法，这样又大大提高了算法的收敛性能。 - I particularly points out that this descending dimension Lagrange multiplier algorithm improves penalty function algorithm and advance accuracy to a certain degree.
特别要指出的是，该算法改进了罚函数法，并在一定程度上比罚函数法更精确。 - For the model, the Inner Penalty Function+ Powell algorithm is put into use.
对此模型，采用内点罚函数和Powell算法求解。 - Considering the heterogeneity of multicast receivers unicast and multicast missions are brought to unified convex program model research with the objective of maximizing network user utility and by applying a penalty function approach a heuristic rate control algorithm is derived.
以最大化网络用户效用值为目标，考虑组播接收者的异构性，将单播和组播任务纳入统一的凸规划模型研究，并应用惩罚函数法推导出一种启发式速率控制算法。 - First, combine the logarithm penalty function method and quasi-Newton algorithm, to convert the problem into the unconstrained form, then use Wolf-Powell line search to determine the step size to avoid small search step.
首先，将对数罚函数法和拟Newton算法有效结合，将约束问题转化为无约束问题，采用Wolf-Powell线搜索确定步长，避免了搜索步长过小的问题。 - For the above mentioned problems, over a long period of time, many kinds of numerical methods based on iterative principle such as Newton Method, Simplicial Method, Conjugate Gradient Method, Homotopy Algorithm, the Fastest Descent Method and Penalty Function Algorithm have been widely applied.
对于这类问题，长期以来基于迭代原理的各种数值方法，如牛顿法、单纯形法、共轭梯度法、同伦法、最速下降法和罚函数法等等得到了广泛的应用。 - This paper took the minimum of system loss as objective function of reactive power optimization and overflow of nodal voltage and reactive power generation of motor node as penalty function, and adopted genetic algorithm to optimize.
本文把系统网损最小作为无功优化的目标函数，节点电压越界和发电机节点无功出力越界情况作为惩罚函数，采用遗传算法进行优化。 - Based on Pareto rank and penalty function, the multi-objective genetic algorithm is used to solve the flexible-interval preventive maintenance optimization problem.
运用基于Pareto秩和罚函数的多目标遗传算法有效解决了弹性周期预防性维修计划的优化问题。 - As to many restriction conditions and large searching space problem in the model, solution method based on Dynamic Penalty Function And adaptive genetic algorithm is designed.
针对模型中存在多约束条件、大搜索空间和传统的遗传算法在搜索过程中极易进入不可行域而出现求解困难等问题，研究了基于动态罚函数的自适应遗传算法模型求解方法。