A new fault diagnosis method based on fast simulated annealing approach of combinational optimization 基于快速模拟退火组合优化算法的故障诊断
Retiming has been used for many fields recently . regretfully, the retiming algorithm can not be used together with existing combinational optimization techniques 遗憾的是,以前提出的重定时算法不能很好地与组合优化方法结合起来。
The experimental results show that the scheduling algorithm based on multiobjective combinational optimization method is better than those heuristic scheduling algorithms 仿真实验结果表明,基于多目标优化方法的调度算法在多数性能指标上均比启发式调度算法更具优势。
In addition, in consideration of the non-convex and non-concave nature of the combinational optimization sub-problem, the branch and bound technique is adopted to obtain or approximate the global optimal solution 针对组合优化子问题的非凸非凹性,采用分支定界法,以求得或接近全局最优解。
But, retiming should be used together with existing combinational optimization techniques and form an optimizational flow in practical circuitry system to exert fully the advantage of both 而实际的电路优化系统应该将重定时算法与其它组合优化方法结合在一个优化流中,充分发挥二者的优势。
The method of optimization is classified into two categories : ( 1 ) combinational optimization method, which is the optimizational method of combinational circuit is directly used for the sequence circuit 优化的方法大致可分为两类:(1)组合优化方法,即将组合电路的优化方法直接用于时序电路。
Since the multiple qos constraints based grid task scheduling problem is in fact a multiobjective combinational optimization problem, solving this problem with a multiobjective combinational optimization method may achieve good results 由于基于多qos的计算网格任务调度问题实际上是一个多目标组合优化问题,因此使用多目标组合优化方法应该可以获得较好结果。
Since the multiple qos constraints based grid task scheduling problem is in fact a multiobjective combinational optimization problem, solving this problem with a multiobjective combinational optimization method may achieve good results 由于基于多qos的计算网格任务调度问题实际上是一个多目标组合优化问题,因此使用多目标组合优化方法应该可以获得较好结果。
In the paper, the new retiming which can be used well together with existing combinational optimization techniques is introduced . retiming can eliminate sequence conflict when sequence constraint condition for example destination clock period is scheduled, the retiming is called sequence adjust strategy 当给定设定的时序约束条件,如目标时钟周期时,利用重定时优化可以消除时序冲突,我们称此重定时优化方法为时序调整策略。
Not being the prefect models of the human neural networks, anns can be widely used to obtain new knowledge from data . therefore, anns can solve some difficult problems, such as speech / image recognition and comprehension, knowledge processing, combinational optimization, intelligent control 尽管它还不是大脑的完美无缺的模型,但它可以通过学习来获取外部的知识并存储在网络内,可以解决计算机不易处理的难题,特别是语音和图像识别、理解、知识的处理、组合优化计算和智能控制等一系列本质上非计算的问题。