Speeding up a Rollout algorithm for complex parallel machine scheduling
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DOI: 10.1080/00207543.2016.1157276
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References listed on IDEAS
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- Inanlouganji, Alireza & Pedrielli, Giulia & Reddy, T. Agami & Tormos Aponte, Fernando, 2022. "A computational approach for real-time stochastic recovery of electric power networks during a disaster," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
- 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.
- Bertazzi, Luca & Secomandi, Nicola, 2018. "Faster rollout search for the vehicle routing problem with stochastic demands and restocking," European Journal of Operational Research, Elsevier, vol. 270(2), pages 487-497.
- Hongjun Wei & Jinjiang Yuan & Yuan Gao, 2019. "Transportation and Batching Scheduling for Minimizing Total Weighted Completion Time," Mathematics, MDPI, vol. 7(9), pages 1-10, September.
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