policy variables

基本解释策略变量

网络释义

1)policy variables,策略变量2)state variable decision,状态变量策略3)zooming strategy,变焦策略4)variable strategy,可变策略5)mutation strategy,变异策略6)metamorphic strategy,变质策略

用法和例句

It also has made the case study with the systemic dynamic simulation method and the forecast and optimization of the adjustment policy variables with the variation of the carrying capacity indices of water environment.

采用系统研究方法,对城市水环境承载力的概念、实质、功能及定量表达方法作出了分析,并利用系统动力学模拟手段进行了实证研究,利用水环境承载力指数变化对拟定的调整策略变量作出了预测、优化,得出了较满意的结论。

Directing against this peculiarity, the author constructs an optimistic model with optimization of system performance as objective by considering inverter and motor as a whole; and puts forward zooming strategy-based genetic algorithm for optimistic design of high-speed asynchronous motor.

提出基于变焦策略的高速异步电机优化遗传算法,借助光学“调焦”原理,引入变焦算子的概念。

Selection of mutation strategies plays an important role in evolutionary programming,and adaptively selecting a mutation strategy in each evolutionary step can achieve good performance.

进化规划中,个体选择变异策略特别重要。

Otherwise,an adaptive mechanism and a mutation strategy are applied to the algorithm for the purpose of shortening the computing time and improving the the accurate rate of prediction.

文中提出了一种基于自适应蚁群算法的分类规则挖掘算法,该算法采用了与Parepinelli算法不同的启发式函数及信息素改变方法,引入了自适应机制与变异策略,从而达到缩短蚁群算法计算时间、加快算法收敛速度、提高预测准确率的目的。

Based on the analyzing of the simulate annealing algorithm and genetic algorithm,a genetic-annealing algorithm with new crossover strategy,mutation strategy and inducing adjustment strategy is proposed to solve the problems including taking long time,premature convergence,and easily trapping into local optimum value in the process of global optimization.

针对全局优化过程中,算法计算时间长、收敛时机不成熟、容易陷入局部最优等现象,在分析模拟退火算法和遗传算法优缺点的基础上提出了新的遗传退火混合算法,并将新的交叉、变异策略和诱导微调方法应用于算法中,通过10组非线性约束函数的测试表明,该算法能够在保持较高精度的前提下快速收敛。

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