1.School of Economics and Management, University of Science and Technology Beijing;2.Engineering Research Center of MES Technology for Iron &3.Steel Production, Ministry of Education, Beijing;4.Ningbo Iron and Steel Co. Ltd
Supported by National Natural Science Foundation of China (No. 71701016, 71231001), Humanity and Social Science Youth foundation of Ministry of Education of China (No. 17YJC630143), Beijing Natural Science Foundation (No. 9174038),and the Fundamental Research Funds for Central Universities (No. FRF-BD-20-16A).
In steelmaking-continuous casting production process, there are complex physical and chemical changes, and processing time presents strong volatility. The scheduling scheme based on standard processing time is difficult to satisfy the actual production needs. Aiming at steelmaking-continuous casting scheduling with uncertain processing times, the robust optimization method was used and the combined box and polyhedral uncertain set was constructed to deal with uncertainty. A robust optimization scheduling model was established with the objective of minimizing the total waiting time. Aiming at its characteristics of two different types of decision variables, namely, discrete assignment variables and continuous robust equivalent transformation variables, a hybrid encoding genetic algorithm was proposed. And a parallel evolution strategy was proposed for the hybrid coding characteristics of chromosomes. To improve its search ability, the elitism strategy and adaptive parameter were introduced. The simulation experiments were designed based on actual production data of various scales, and the results showed the effectiveness of the proposed model and algorithm.