Average-Case Performance of Rollout Algorithms for Knapsack Problems
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DOI: 10.1007/s10957-014-0603-x
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References listed on IDEAS
- Luca Bertazzi, 2012. "Minimum and Worst-Case Performance Ratios of Rollout Algorithms," Journal of Optimization Theory and Applications, Springer, vol. 152(2), pages 378-393, February.
- Gennady Diubin & Alexander Korbut, 2003. "The average behaviour of greedy algorithms for the knapsack problem: General distributions," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 57(3), pages 449-479, August.
- Nicola Secomandi, 2001. "A Rollout Policy for the Vehicle Routing Problem with Stochastic Demands," Operations Research, INFORMS, vol. 49(5), pages 796-802, October.
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- del Castillo, Enrique & Beretta, Alessia & Semeraro, Quirico, 2017. "Optimal setup of a multihead weighing machine," European Journal of Operational Research, Elsevier, vol. 259(1), pages 384-393.
- Goodson, Justin C. & Thomas, Barrett W. & Ohlmann, Jeffrey W., 2017. "A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs," European Journal of Operational Research, Elsevier, vol. 258(1), pages 216-229.
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Keywords
Rollout algorithms; Lookahead; Knapsack problems; Approximate dynamic programming;All these keywords.
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