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We consider the NP Hard problems of online Bin Covering and Packing while requiring that larger (or longer, in the one dimensional case) items be placed at the bottom of the bins, below smaller (or shorter) items — we call such a version, the LIB version of problems. Bin sizes can be uniform or variable. We look at computational studies for both the Best Fit and Harmonic Fit algorithms for uniform sized bin covering. The Best Fit heuristic for this version of the problem is introduced here. The...
We consider the NP Hard problems of online Bin Covering and Packing while
requiring that larger (or longer, in the one dimensional case)
items be placed at the bottom of the bins, below smaller (or
shorter) items — we call such a version, the
version of problems. Bin sizes can be uniform or variable. We look
at computational studies for both the Best Fit and Harmonic Fit
algorithms for uniform sized bin covering. The Best Fit heuristic for
this version of the problem is introduced here.
The approximation...
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