A Model Based Interactive Graphical Scheduler
A Model Based Interactive Graphical Scheduler
批准号:
9460011
负责人:
Donald Miller
金额:
$5.2万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-01-01 至 1995-09-30
中文摘要
Advanced Process Combinatorics公司提出了一种集成了基于模型的优化和电子甘特图的交互式调度系统。该系统(smar++ /IGS)将成为基于面向对象模型的优化调度系统SMART++(调度与物资调度)的一个新组成部分。因此,IGS将与RCSPec(一种用于描述调度问题的现有语言)和milp++(一种现有的面向对象混合整数程序优化器)集成。IGS的主要定义特征将是电子甘特图与基于底层模型的优化算法的耦合。用户将能够使用图形用户界面向时间表添加各种各样的约束。通过在甘特图中单击任务上的鼠标,用户将能够确定执行时间或任务在序列中的位置。优化器将完成调度,围绕用户已经指定的部分构建一个优化的调度。除了用户友好的明显优势外,这还为用户提供了对优化算法的详细控制。添加约束(部分调度规范)将使优化问题更小,因此更容易解决。可以利用这种用户引导的问题简化作为使困难问题可解决的方法。这一点以及优化算法的进步和更快的计算机为利用严格的基于模型的优化的交互式调度在未来几年内成为可交付的商业产品提供了希望。
英文摘要
Advanced Process Combinatorics, Inc., proposes an interactive scheduling system which integrates model based optimization with an electronic Gantt chart. This system (SMART++/IGS) will be a new component for the object-oriented model based optimization scheduling system, SMART++ (Scheduling and Material Resource Timing). As such, IGS will be integrated with RCSPec, an existing language for describing scheduling problems, and MILP++, an existing object-oriented mixed integer program optimizer. The main defining feature of IGS will be the coupling of the electronic Gantt chart to the underlying model based optimization algorithms. Users will be able to add a wide variety of constraints to the schedule using the graphical user interface. By clicking the mouse on a task in the Gantt chart the user will be able to fix the execution time, or the place of a task in a sequence. The optimizer will complete the schedule, building an optimized schedule around the pieces already specified by the user. In addition to the obvious advantages of user friendliness, this provides the user with detailed control over the optimization algorithm. The addition of constraints (partial schedule specification) will make the optimization problem smaller and thus, easier to solve. Such user guided problem simplification may be exploited as a method of rendering difficult problems solvable. This and advances in optimization algorithms and faster computers offer hope that interactive scheduling which utilizes rigorous model based optimization will be a deliverable commercial product in the next few years.
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