A Bin Packing Algorithm with Complexity O(n log n) and Performance 1 in the Stochastic Limit
Proceedings on Mathematical Foundations of Computer Science
Approximation algorithms for combinatorial problems
Journal of Computer and System Sciences
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The bin-packing problem is studied from a probabilistic view point. It is shown that, when the sizes of the n elements to be packed are drawn independently from a probability distribution F, then the minimum number of bins necessary for the packing of these n elements is asymptotically (a.e.) proportional to n in three cases. In all three cases, the constant of proportionality to n is explicitly given. Furthermore, in two of the cases, a heuristic is described which is asymptotically almost surely closed to the optimal solution.