An improved genetic simulated annealing algorithm and its application to qos multicast routing 基于模拟退火的多约束路径优化选择算法
Putting forward a new approach for conceptual design with qfd and constraints 提出了质量功能展开与多约束条件相结合进行概念设计的方法。
The intelligent fixing test paper is a process of the problem of constraint satisfaction based on a typical relational database 摘要智能组卷是一个典型的基于关系数据库多约束满足的问题求解过程。
" from a legal point of view the issue is whether the uniform is more restrictive for girls than boys . 本文来自news . jewelove . net “从法律的角度来看，问题的关键是，女生的学生制服是否应该比男生的受到更多约束。 ”
To multi - constraint problem about size , stress and displacement , the size and stress constraints are transformed into the movable size constraints 对于尺寸、应力和位移约束的多约束问题，文中把尺寸、应力约束转化为动态尺寸约束。
A novel two - phase genetic - annealing algorithm is proposed to solve the vehicle routing problem with time window ( mdvrptw ) and multi - constraint in multiple dispatching centers 摘要针对多约束条件的多配送中心有时间窗车辆路径问题，提出了一种二阶段遗传退火算法。
The production logistics dynamic balance scheduling is a typical multi - procedure , multi - object , multi - constraint , multi - machine parallel scheduling problem , which is difficult to build its mathematic model 摘要流程工业生产物流动态平衡调度是典型的多工序、多目标、多约束的多机并行调度问题，难以解析建模。
In the paper , we focus on low power scheduling at the behavioral level , which partitions the behavior description into the time interval at multiple voltages and under multiple constraints 本文主要研究行为级的低功耗调度技术，是在多约束条件下，把工作在不同电压下的操作分成具体的时间段进行执行的过程。
According to the structural characteristic of distribution network , a method for fast - fault - location is proposed . this method required an arc - structure matrix and is based on the practical information achieved by ftu 由于配电网络的故障后重构方案的得到具有多约束、非线性和整数寻优的特点，用常规的数理方法求解往往不能令人满意。
Reactive power optimization is a large - scale nonlinear optimization problem with a large number of variables and uncertain parameters , the operating variables include continuous and discrete variables , so the optimization becomes very complex 电力系统的无功优化问题是一个多变量、多约束的混合非线性规划问题，其操作变量既有连续变量又有离散变量，使得优化过程十分复杂。
