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- W4320802425 abstract "As one of the most important process, hot rolling that consists of several procedures exhibits as both a primary production period and an intensive energy-consuming consumer, of which the production efficiency and energy consumption is of great significance for the enterprises. Although existed methods have proposed some solutions, most of them are mainly based on single-objective optimization toward separate procedure rather than multi-objective alternative considering the practical connections between the consecutive stages. For this purpose, an integrated optimization method based on unified modeling and multi-stage evolutionary algorithm is proposed in this study. More specifically, a mathematical model for this Constrained Multi-Objective Problem (CMOP) is formulated at first, where the objectives and constraints for the scheduling of reheating furnace and rolling is ensemble considered. Furthermore, an improved Multi-Stage Multi-Objective Evolutionary Algorithm framework (MSMOEA) is proposed, which performs a sequential Pareto Front based optimization according to the flow of production procedures, so that a scheduling plan for both the reheating furnace and rolling is finally obtained. To evaluate the performance for both the modeling and optimization, the proposed unified model and MSMOEA framework are compared with single-objective model and commonly deployed optimization methods using real data from a steel plant in China, respectively. The results demonstrate the superiority of the proposed method, which can be beneficial for efficiency increasement and energy costs reduction on site." @default.
- W4320802425 created "2023-02-15" @default.
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- W4320802425 date "2022-08-15" @default.
- W4320802425 modified "2023-09-23" @default.
- W4320802425 title "Integrated Multi-Objective Optimization for Reheating Furnace Scheduling and Rolling Plan in Hot Rolling Process of Steel Industry" @default.
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- W4320802425 doi "https://doi.org/10.1109/ccdc55256.2022.10033616" @default.
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