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2009 International Joint Conference on Computational Sciences and Optimization
Competitive Analysis of Online Price Discount Replacement Problem
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
| ASCII Text | x | ||
| Lili Ding, Xinmin Liu, Wanglin Kang, "Competitive Analysis of Online Price Discount Replacement Problem," 2012 Fifth International Joint Conference on Computational Sciences and Optimization, vol. 1, pp. 136-139, 2009 International Joint Conference on Computational Sciences and Optimization, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSO.2009.491, author = {Lili Ding and Xinmin Liu and Wanglin Kang}, title = {Competitive Analysis of Online Price Discount Replacement Problem}, journal ={2012 Fifth International Joint Conference on Computational Sciences and Optimization}, volume = {1}, year = {2009}, isbn = {978-0-7695-3605-7}, pages = {136-139}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSO.2009.491}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Fifth International Joint Conference on Computational Sciences and Optimization TI - Competitive Analysis of Online Price Discount Replacement Problem SN - 978-0-7695-3605-7 SP136 EP139 A1 - Lili Ding, A1 - Xinmin Liu, A1 - Wanglin Kang, PY - 2009 VL - 1 JA - 2012 Fifth International Joint Conference on Computational Sciences and Optimization ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSO.2009.491
When a paid price discount activity occurs, the decision maker must decide whether or not and when to pay the additional fees for preferential price in an online fashion. This problem which generalizes the basic leasing problem has been introduced and studied by Fleischer et al. In this paper, we extend the basic model to consider different price discount replacement case and present the optimal deterministic online CA algorithm. Moreover, the risk reward framework is introduced into the model to allow the decision-makers to manage their risk and utilize their forecasts. We give a new online risk algorithm and derive an improved competitive ratio, which is the function of the risk tolerance ¸ and forecast F. It is found that with the competitive risk analysis, the flexible competitive ratio has the decreasing character of the risk tolerance.
Citation:
Lili Ding, Xinmin Liu, Wanglin Kang, "Competitive Analysis of Online Price Discount Replacement Problem," cso, vol. 1, pp.136-139, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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