Production Scheduling Method of Steelmaking and Continuous Casting Using Priority Strategy Hybrid Genetic Algorithm

Abstract

The invention proposes a steelmaking-continuous casting scheduling method utilizing a priority policy hybrid genetic algorithm. The method comprises the following steps: establishing a production scheduling plan target function; establishing a constraint condition set; performing iterative calculation on the target function by utilizing the priority policy hybrid genetic algorithm; and calculating decision variables. The calculation of the decision variables specifically comprises the steps of performing model initialization; calculating a feasible solution: designing a segmented combined real number code composed of casting time information of a continuous casting machine and information of a heat machining device, randomly generating operation time according to a distribution law, and obtaining a time conflict-free scheduling plan by backward inference calculation and conflict elimination methods; and performing population genetic optimization: quantitatively describing a matching relationship among machining devices in reality by using processing weight assignment of a task executable device, and introducing the matching relationship to genetic operation in the form of a device selection priority policy to perform population evolution. The method can solve the problem of uncertainty of device selection and operation time in production to obtain an optimized executable production scheduling plan.

Description

Technical field [0001] The invention relates to the technical field of metallurgical control, in particular to a steelmaking and continuous casting production scheduling method using a priority strategy hybrid genetic algorithm. Background technique [0002] Steelmaking and continuous casting production scheduling is an important part of steel enterprise production management. In actual production, due to various uncertainties in the production environment and production conditions, the production scheduling plan is difficult to implement or the effect of the implementation is limited. Therefore, the study of reasonable and efficient formulation methods for executable production scheduling plans is of great significance for improving the overall operating efficiency of the production system and reducing material consumption, energy consumption and costs. [0003] In recent years, the production scheduling problem of steelmaking and continuous casting has become a research hotspot,...

AI Technical Summary

Problems solved by technology

This type of method mainly focuses on the time uncertainty problem in production scheduling. For the uncertainty problem of equipment selection, it is generally based on the simplified processing method of assuming that equipment allocation is not limited or using heuristic allocation rules, which may lead to production scheduling. Difficulty implementing the plan, etc.

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