片语

Job-shop problems异序排序

job-shop simulator[计]

flexible job-shop柔性工作车间

job b shop加工车间

JoB-SHOP SCHEDULING作业安排调度

job-shop controlling生产控制

Manufacturing Job-Shop制造车间调度

英汉例句

• a new local search algorithm for solving the minimum make span problem of job shop scheduling is presented.

  提出了一种求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。

• job shop scheduling is a complex np problem, scheduling system need considerable flexibility mechanism.

  车间调度问题是一个复杂的np问题，车间调度系统需要具有相当的柔性机制。

• job shop scheduling is one of the effective measures to resolve the problem.

  车间作业计划是解决这一难点的有效措施之一。

• with the widespread application of the flexible manufacture system in the production manufacturing area, the research on flexible job shop scheduling methods gradually has been becoming a top issue.

  随着柔性制造系统在生产制造领域的广泛应用，柔性车间调度方法的研究逐渐成为生产调度研究领域的热点问题。

• a discrete particle swarm optimization(pso) algorithm was presented for job shop scheduling problem.

  提出了用于解决作业车间调度问题的离散版粒子群算法。

• finally, the design and realization of the job shop scheduling system based on gasa are expounded, the functions and operations of the system modules are introduced detailedly.

  最后，本文阐述了基于混合算法的车间调度系统的设计与实现，详细介绍了各个模块的功能与操作。

• a structural model for large-scale projects is not far different from a job shop model.

  一个大型工程项目的结构模型同一个定货加工厂的模型相差不远。

• due to machine constraint, flexible job shop scheduling is much more complex than traditional job shop scheduling.

  柔性作业车间调度问题由于减少了机器的约束，所以比传统作业车间调度问题的复杂性更高。

• the job shop scheduling is referring to adjust and coordinate the production and correlative resources aiming at the contradictions and the questions which appear in the production work process.

  是指根据生产的实时数据以及历史资料数据，现场动态的协调人员、物料、设备以最大可能的优化生产。

• the result of experiment shows than the improved genetic algorithm is superior to the traditional one in the solution to multi-objective flexible job shop scheduling.

  实验结果表明，改进的遗传算法在多目标柔性工作车间调度问题的解决上要优于传统遗传算法。

• this paper studies the multi-objective flexible job shop scheduling problem in genetic algorithm.

  研究了遗传算法在多目标柔性作业车间调度问题中的应用。

• because there is much difficulty in processing in these two types of job shop scheduling, few optional algorithms are available.

  由于这两类车间调度问题存在高度的计算难处理性，因而可供选择的算法比较少。

• this paper proposes a method of adaptive neural network based on constraint satisfaction for job shop scheduling problem.

  提出了用于解决作业车间调度问题的离散版粒子群算法。

• finally, cmoea was applied to six fuzzy job shop scheduling to maximize the minimum agreement index and minimize the maximum fuzzy complete time and was compared with other algorithms.

  最后将多目标进化算法应用于模糊作业车间调度问题，以最大化最小一致指标和最小化模糊最大完成时间，并和其他算法比较。

• cim differs from the traditional job shop manufacturing system in the role the computer plays in the manufacturing process.

  cim与传统的加工车间的制造系统的区别在于计算机在制造过程中所起的作用。

• two kinds of model are formulated based on the studies of job shop fuzzy scheduling problem.

  在研究作业车间模糊调度问题的基础上，建立了两种作业车间模糊调度模型。

• taking advantage of the flexibility of manufacturing process and job shop environment, it reaches a nearly optimal solution according to the dynamic status of job shop environment.

  它能根据车间环境的状态，充分利用制造工艺和车间环境的柔性产生优化的工艺方案。

• an improved genetic algorithm (ga) was presented for solving the flexible job shop scheduling problem(fjsp) with multi-object.

  针对多目标柔性作业车间调度问题，提出一种改进遗传算法。

• the job shop scheduling problem is a classical problem with both highly theoretical and practical value.

  工件车间调度问题具有很高的理论价值和实际价值。

• capp and job shop scheduling are two important parts involved in shop floor activities with the cims.

  capp和车间作业计划是cims环境下，车间生产活动的两项重要内容。

• according to the research of genetic algorithm on job-shop scheduling problem, the use of genetic algorithm to actual job shop can highly improve the level of shop management and attain more profits.

  通过遗传算法在车间作业调度中的研究，在实际的车间生产中运用遗传算法进行作业优化，可以更大地提高车间的加工管理水平，使企业获得更大的生产效益。

• biobjective and multiobjective scheduling problems for dual-resource job shop are researched based on the algorithms.

  在双资源双目标静态调度问题的基础上，研究了动态调度问题；