A simple on-line bin-packing algorithm
Journal of the ACM (JACM)
Online algorithms for a dual version of bin packing
Discrete Applied Mathematics
Two simple algorithms for bin covering
Acta Cybernetica
Best-fit bin-packing with random order
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
The Ordered Open-End Bin-Packing Problem
Operations Research
Tight bounds for online class-constrained packing
Theoretical Computer Science - Latin American theorotical informatics
The relative worst order ratio for online algorithms
ACM Transactions on Algorithms (TALG)
The relative worst-order ratio applied to paging
Journal of Computer and System Sciences
The class constrained bin packing problem with applications to video-on-demand
Theoretical Computer Science
The relative worst order ratio applied to seat reservation
ACM Transactions on Algorithms (TALG)
Probabilistic Analysis of Online Bin Coloring Algorithms Via Stochastic Comparison
ESA '08 Proceedings of the 16th annual European symposium on Algorithms
Theoretical Computer Science
Comparing First-Fit and Next-Fit for Online Edge Coloring
ISAAC '08 Proceedings of the 19th International Symposium on Algorithms and Computation
Fast algorithms for bin packing
Journal of Computer and System Sciences
Theoretical evidence for the superiority of LRU-2 over LRU for the paging problem
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
List factoring and relative worst order analysis
WAOA'10 Proceedings of the 8th international conference on Approximation and online algorithms
Journal of Combinatorial Optimization
Algorithms for scheduling of chemotherapy plans
Computers in Biology and Medicine
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The relative worst-order ratio is a measure of the quality of online algorithms. In contrast to the competitive ratio, this measure compares two online algorithms directly instead of using an intermediate comparison with an optimal offline algorithm.In this paper, we apply the relative worst-order ratio to online algorithms for several common variants of the bin packing problem. We mainly consider pairs of algorithms that are not distinguished by the competitive ratio and show that the relative worst-order ratio prefers the intuitively better algorithm of each pair.