Don't Rock the Boat: Algorithms for Balanced Dynamic Loading and Unloading

We consider dynamic loading and unloading problems for heavy geometric objects. The challenge is to maintain balanced configurations at all times: minimize the maximal motion of the overall center of gravity. While this problem has been studied from an algorithmic point of view, previous work only f...

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Bibliographic Details
Published inLATIN 2018: Theoretical Informatics Vol. 10807; pp. 448 - 460
Main Authors Fekete, Sándor P., von Höveling, Sven, Mitchell, Joseph S. B., Rieck, Christian, Scheffer, Christian, Schmidt, Arne, Zuber, James R.
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Online AccessGet full text
ISBN9783319774039
3319774034
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-77404-6_33

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Summary:We consider dynamic loading and unloading problems for heavy geometric objects. The challenge is to maintain balanced configurations at all times: minimize the maximal motion of the overall center of gravity. While this problem has been studied from an algorithmic point of view, previous work only focuses on balancing the final center of gravity; we give a variety of results for computing balanced loading and unloading schemes that minimize the maximal motion of the center of gravity during the entire process. In particular, we consider the one-dimensional case and distinguish between loading and unloading. In the unloading variant, the positions of the intervals are given, and we search for an optimal unloading order of the intervals. We prove that the unloading variant is NP-complete and give a 2.7-approximation algorithm. In the loading variant, we have to compute both the positions of the intervals and their loading order. We give optimal approaches for several variants that model different loading scenarios that may arise, e.g., in the loading of a transport ship with containers.
Bibliography:Due to space constraints, several technical details are omitted from this extended abstract. A full version with all proofs can be found at [7].
ISBN:9783319774039
3319774034
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-77404-6_33