Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics
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DOI: 10.1007/s10479-019-03494-7
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- Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2021. "Job Scheduling under Time-of-Use Energy Tariffs for Sustainable Manufacturing: A Survey," LIDAM Discussion Papers CORE 2021019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2023. "Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1091-1109.
- Liman Feng & Guo Chen & Shengchao Zhou & Xiaojun Zhou & Mingzhou Jin, 2024. "An Energy-Efficient Unrelated Parallel Machine Scheduling Problem with Batch Processing and Time-of-Use Electricity Prices," Mathematics, MDPI, vol. 12(3), pages 1-14, January.
- Tian, Zheng & Zheng, Li, 2024. "Single machine parallel-batch scheduling under time-of-use electricity prices: New formulations and optimisation approaches," European Journal of Operational Research, Elsevier, vol. 312(2), pages 512-524.
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Keywords
Energy-conscious batch scheduling; Time-of-use (TOU); Bi-objective optimization; $$epsilon $$ ϵ -constraint-based constructive heuristic algorithms;All these keywords.
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