Linearized formulations for failure aware barter exchange
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s11590-021-01778-1.pdf
Reference25 articles.
1. Abraham, D.J., Blum, A., Sandholm, T.: Clearing algorithms for barter exchange markets: enabling nationwide kidney exchanges. In: MacKie-Mason, J.K., Parkes, D.C., Resnick, P. (eds.) Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), San Diego, California, USA, June 11–15, 2007, pp. 295–304. ACM (2007)
2. Anderson, R., Ashlagi, I., Gamarnik, D., Roth, A.E.: Finding long chains in kidney exchange using the traveling salesman problem. Proc. Natl. Acad. Sci. 112(3), 663–668 (2015)
3. Ashlagi, I., Gamarnik, D., Rees, M.A., Roth, A.E.: The need for (long) chains in kidney exchange. Technical report, National Bureau of Economic Research (2012)
4. Ashlagi, I., Gilchrist, D.S., Roth, A.E., Rees, M.A.: Nonsimultaneous chains and dominos in kidney-paired donation-revisited. Am. J. Transpl. 11, 984–994 (2011)
5. Carvalho, M., Klimentova, X., Glorie, K., Viana, A., Constantino, M.: Robust models for the kidney exchange problem. INFORMS J. Comput. (2020). https://doi.org/10.1287/ijoc.2020.0986
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