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Online Algorithm for 1-Space Bounded Multi-dimensional Bin Packing

机译:一维有界多维装箱在线算法

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In this paper, we study 1-space bounded multi-dimensional bin packing. A sequence of items arrive over time, each item is a d-dimensional hyperbox and the length of each side is no more than 1. These items must be packed Without overlapping into d-dimensional hy-percubes with unit length on each side. In d-dimensional space, any two dimensions i and j define a space P_(ij). When an item arrives, we must pack it into an active bin immediately without any knowledge of the future items, and 90°-rotation on any plane P_(ij) is allowed. The objective is to minimize the total number of bins used for packing all these items in the sequence. In the 1-space bounded variant, there is only one active bin for packing the current item. If the active bin does not have enough space to pack the item, it must be closed and a new active bin is opened. For this problem, we give an online algorithm with competitive ratio 4~d, which is the first study on 1-space bounded d-dimensional bin packing.
机译:在本文中,我们研究了一维有界的多维装箱。随着时间的流逝,有一系列的项目到达,每个项目都是d维超框,并且每边的长度不超过1。这些项目必须打包成不与d维超形重叠的方式,每边的单位长度都应重叠。在d维空间中,任意二维i和j都定义一个空间P_(ij)。当物品到达时,我们必须立即将其包装到活动箱中,而无需任何将来物品的知识,并且允许在任何平面P_(ij)上旋转90°。目的是最小化用于包装序列中所有这些物品的箱的总数。在1空间有界变体中,只有一个活动箱用于包装当前物品。如果活动箱没有足够的空间来包装物品,则必须将其关闭并打开新的活动箱。针对这一问题,我们提出了一种竞争比为4〜d的在线算法,这是对一维有界d维箱装箱的首次研究。

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