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The effects of event selection based on soft constraint violation (ESSCV) in a modified PSO algorithm to solve class scheduling problems

机译:基于软约束违规(ESSCV)在修改的PSO算法中解决类别调度问题的效果

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Generating an initial solution and then iteratively improve the solution are common initial steps in solving class scheduling problems. In this improvement process, the re-assignment of events to a new time slot and the selection of event to be reassigned play a significant role in reducing the soft constraint violation and finally improving the quality of the timetable. This paper proposes a local search heuristic which handle an event selection namely Event Selection based on Soft Constraint Violation (ESSCV) applied in a modified PSO algorithm to solve class scheduling problems. This technique was based on the idea of re-assignment of event which contributes to soft constraints violation, hoping the new assignment will alleviate the violation. The performance of the proposed technique was measured based on percentage penalty reduction (%PR) and execution time. Five sets of data from International Timetabling Competition were used in the experiment. The experimental results shows that ESSCV managed to reduce the event contributed to soft constraint violation, thus increases the %PR even though also demonstrated a small increase in execution time.
机译:生成初始解决方案,然后迭代地改善解决方案是解决类调度问题中的常见初始步骤。在这种改进过程中,将事件重新分配给新的时隙以及要重新分配的活动选择在减少软限制违规方面发挥着重要作用,并且最终提高了时间表的质量。本文提出了一种本地搜索启发式,其处理基于软约束违规(ESSCV)的事件选择即事件选择,用于解决类别调度问题。这种技术基于重新分配事件的想法,这有助于侵犯软限制,希望新的任务将减轻违规行为。所提出的技术的性能是根据惩罚率减少(%PR)和执行时间来测量的。实验中使用了来自国际时间表竞争的五套数据。实验结果表明,ESSCV设法减少了对软限制违规的贡献,从而增加了%PR,即使也表现出执行时间的小幅增加。

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