首页> 外文会议>INRIA/IEEE symposium on emerging technologies and factory automation;ETFA'95 >PARALLEL BRANCH AND BOUND ALGORITHMS FOR A CLASS OF SCHEDULING PROBLEMS
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PARALLEL BRANCH AND BOUND ALGORITHMS FOR A CLASS OF SCHEDULING PROBLEMS

机译:一类调度问题的并行分支和有界算法

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Scheduling consists in organizing in time the execution of a set of tasks. Works done in this field, generally, deal with special cases. Thus, the models already developped remain too particular to be applied to any scheduling problem.Here, we present the solution of a general type of deterministic scheduling problems [17][18] which takes into account: priority constraints, resources constraints (disjunctive and cumulative) [1][15], different types of resources of which the supply can vary with time (in a discrete way), the needs of resources that can vary during the execution of each task and performance measures which are an arbitrary non decreasing function of the completion time of all the set of tasks.
机译:调度包括及时组织一组任务的执行。通常,在这一领域完成的工作涉及特殊情况。因此,已经开发的模型仍然过于特殊,无法应用于任何调度问题。 在这里,我们提出了一种一般性的确定性调度问题[17] [18]的解决方案,该问题考虑了:优先级约束,资源约束(析取和累加)[1] [15],其中供应的不同类型的资源随时间(以离散方式)变化,对资源的需求在每个任务的执行过程中可能会变化,而性能指标则是所有任务完成时间的任意非递减函数。

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