Competitive algorithms for on-line problems
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Nearly optimal competitive online replacement policies
Mathematics of Operations Research
Online computation and competitive analysis
Online computation and competitive analysis
ICALP '96 Proceedings of the 23rd International Colloquium on Automata, Languages and Programming
On-line algorithms and financial decision-making
On-line algorithms and financial decision-making
A risk-reward competitive analysis of the bahncard problem
AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
Competitive analysis of two special online device replacement problems
Journal of Computer Science and Technology
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The replacement problems are extensively studied from a number of disciplines including economics, finance, operations research, and decision theory. Much of previous theoretical work is “Bayesian”. In this paper, we restudy the on-line replacement problem by using the competitive analysis. The goal is to minimize the total cost of cumulative payment flow plus changeover costs. Firstly, a refusal strategy is proposed and the competitive ratio for k=1 is obtained. Furthermore, a new time-independent strategy Snew is presented and we prove that it is r-competitive when M∈[c,d]. Finally, weights are introduced to the original model and some results are achieved.