Competitive algorithms for on-line problems
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An Approximation Algorithm for Stacking up Bins from a Conveyor onto Pallets
WADS '97 Proceedings of the 5th International Workshop on Algorithms and Data Structures
Competivive Analysis of on-line Stack-Up Algorithms
ESA '97 Proceedings of the 5th Annual European Symposium on Algorithms
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We consider the combinatorial stack-up problem which is to process a given sequence q of bins by removing step by step bins from the first s positions of the sequence onto p stack-up places. We prove that the Most-Frequently algorithm has best worst-case performance of all on-line stack-up algorithms and is, additionally, the best polynomial time approximation algorithm for the stack-up problem known up to now, although it is a simple on-line algorithm.