垃圾收集器使用非阻塞算法加快并发和平行的垃圾搜集；调度器使用非阻塞算法有效地调度线程和进程，实现内在锁。
The garbage collector uses them to accelerate concurrent and parallel garbage collection; the scheduler uses them to efficiently schedule threads and processes and to implement intrinsic locking.
所提算法是配电网络实时调度，规划和离线分析的有效工具。
The proposed method can be used as an efficient tool for distribution network on-line dispatching, planning and off-line analysis.
实例调度优化结果表明：改进遗传算法能有效求解产品装配优化调度问题，在产品装配生产中有一定的应用价值。
The optimization result of instance shows that the improved algorithm introduced can converge to the globally optimal solution effectively , it is valuable at product assembly scheduling.
灵活有效的调度算法是实现多功能相控阵雷达工作性能优化和资源合理利用的基础。
An effective scheduling algorithm is very important in multifunction phased array radars to optimize performance and improve resource utilization ratio.
为了能够提高系统效率，尽快的执行用户提交的应用，基于光网络的分布式计算系统需要一个有效的调度算法。
To improve the system performance and execute the applications that users submit, the optical network based distributed computing system needs an efficient task scheduling algorithm.
测试结果验证了算法在求解动态车辆调度问题中的有效性。
The test results demonstrate the effectiveness of the RHSA to solve the dynamic vehicle scheduling problem.
仿真试验表明，该算法不仅提高了最优解的质量，而且还具有搜索空间小、求解速度快的特点，能够有效地解决大规模动态车辆调度问题。
The simulation results show that the proposed algorithm can not only improve the optimal solution, but also reduce greatly the search space and computation time, and can solve the problem efficiently.
本文研究了总的流程时间最小的多机调度问题，建立了该问题的数学模型，并用一种改进遗传算法有效解决了该问题。
In this psper, the model of the multi - machine scheduing problem for minimizing total flow time was propssed and established.
规模车辆调度问题的有效算法分析。
The effective size of the vehicle scheduling problem algorithm analysis.
由于磁带库随机存取的性能很差，需要研究有效的随机I/O调度策略和算法以改善其在线存取的效率。
Since the tape libraries have very poor random access performance, it is critical to study random I/O scheduling strategies and algorithms in order to improve the performance of tape library.
实验结果表明，基于磁盘调度的重构算法能更有效地利用系统资源。
And the performance evaluation result shows that it makes more efficient use of system resource than stripe-oriented reconstruction algorithm does.
试算结果表明，对需求点分类后，应用遗传算法可有效解决联合物流模式的车辆调度问题。
The trial calculation results show that vehicle routing problem for logistics alliance model can be solved efficiently by the improved hybrid algorithm through the classification of the demand points.
混合调度算法把RMS和EDF两种算法结合起来，使它们取长补短，效果也不错，它在一些场合是比较有效的。
The mixed scheduling algorithm combines the algorithms of RMS and EDF, and makes full use of them. In some places, it is proved to be efficiency and effectiveness as well.
最后，通过优化典型多目标优化问题以及电力经济调度模型优化，验证了所提算法的有效性。
Finally, the efficiency of the proposed method is validated by optimizing on benchmark multi-objective functions optimization and power economic dispatch.
仿真结果表明，本文所提出的调度算法能够有效降低任务的截止期错失率，对调度性能有明显的改善。
The method is evaluated with the missed deadline ratio, and the simulation results show the proposed algorithm can improve the performance of the radar scheduler effectively.
仿真结果表明该算法有效地解决了多目标情况下的传感器实时调度问题，并优于一般的智能算法。
Simulation result shows that the algorithm can effectively deal with real-time sensor scheduling under the circumstance of multiple objects, and it is better than other intelligent algorithms.
该算法适用于可并行任务，并在考虑到了任务集的截止期和资源因素基础上，加入了运行时间因素，达到了减少调度返回次数以及提高有效性的目的。
It takes processing time into account besides the deadline and resource requirement of the task sets in order to reduce scheduling backtracks and increase effectiveness.
为了有效地解决水火电力系统资源短期优化调度问题，提出了一种基于混沌粒子群算法的调度方案。
To solve hydrothermal power system resource short-term optimization scheduling problem, this paper proposed a novel scheduling solution based on chaos particle swarm optimization algorithm.
结果表明，用该算法进行带软时间窗的非满载车辆调度优化问题，可以方便有效地求得满意解。
The results demonstrate that the feasible solutions to the not-fully-loaded vehicle scheduling problem with soft time windows can easily be obtained using the algorithm.
算例的结果表明，P SO算法能够有效地得到一个高性能的优化调度结果。
Numerical simulation results show that the proposed PSO method is capable of obtaining higher quality dispatch solution efficiently, fu...
网格环境下的资源分配与调度是一个NP难问题，蚂蚁算法是解决这类问题的有效算法。
Resource allocation and task scheduling of Grid is an NP-hard problem. Ant algorithm has proved to be a kind of effective algorithm to solve this kind of problems.
文中给出该算法的可调度判定不等式，并且通过对经典任务集的调度结果，验证了算法的有效性和灵活性。
Schedulability test inequation of the algorithm is presented in the paper. The validity and the flexibility of the algorithm are proved through the analysis of classical task sets.
然而在现实生产调度过程中，面临着复杂的加工环境和资源约束，需要设计出一种有效地算法来解决生产调度问题。
But in the real production scheduling process, faced with complex processing environment and resource constraints, we need to design a effective algorithm to solve the scheduling problem.
然而在现实生产调度过程中，面临着复杂的加工环境和资源约束，需要设计出一种有效地算法来解决生产调度问题。
But in the real production scheduling process, faced with complex processing environment and resource constraints, we need to design a effective algorithm to solve the scheduling problem.
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