Online bin stretching is an online problem where some items must be packed in an online fashion in a given number of bins. The items are guaranteed to be able to fit into the bins. However, the online aspect of this problem might force the bins to be "stretched" to a bigger capacity in order to be able to pack all the items. Finding lower and upper bounds on how much the bins need to be stretched in the worst case can be modeled as a 2-player game. Then, computational methods can be used to find lower and upper bounds. We propose here new ideas to speed up such methods to try to obtain better lower bounds. More specifically, we give a way to strongly reduce the computation needed for lower bounds by propagating the game states that can be pruned from the search. With those results, the speed and efficiency of the search for lower bounds has been increased. Moreover, three new lower bounds have been found.
翻译:在线书包拉伸是一个在线问题, 有些项目必须以在线方式在一定数量的书包中打包。 保证这些项目能够融入书包中。 但是, 这个问题的在线方面可能迫使文件夹“ 伸展” 以更大的容量来打包所有项目。 找到关于最坏情况下需要拉展多少的书包的上下限, 可以模拟为2人游戏。 然后, 可以使用计算方法查找上下限。 我们在此提出加快这些方法以尝试获得更低的线条的新想法。 更具体地说, 我们给一个办法, 大力减少下限所需的计算, 方法是通过宣传可以从搜索中切开的游戏状态。 有了这些结果, 搜索下限的速度和效率已经提高。 此外, 已经找到了三个新的下限 。