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- W2026523251 abstract "The parallel heating furnaces scheduling problem for hot rolling which aims to achieve energy conservation is discussed in this paper. According to the characteristics of parallel heating furnaces, a multi-objective mathematical model is then established considering mixed charging of cold and hot slabs. The model is to minimize the energy consumption of heating furnaces and a hot rolling mill, with the makespan of heating slab as a constraint which makes the loads of furnaces more balanced. A novel Hybrid Particle Swarm Optimization-Local Search Algorithm (HPSO-LSA) is therefore proposed to solve the model. The case study demonstrates the feasibility and effectiveness of the proposed method based on comparison with other existing methods." @default.
- W2026523251 created "2016-06-24" @default.
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- W2026523251 date "2014-06-01" @default.
- W2026523251 modified "2023-09-25" @default.
- W2026523251 title "HPSO-LSA based multi-objective energy consumption optimization for parallel heating furnaces scheduling" @default.
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- W2026523251 doi "https://doi.org/10.1109/wcica.2014.7053079" @default.
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