Multi-objective optimization method of steelmaking-continuous casting production scheduling based on NSGA-II

Abstract

The invention is applicable to the field of steelmaking-continuous casting production process, and provides a multi-objective optimization method of steelmaking-continuous casting production scheduling based on NSGA-II. The method comprises the following steps: converting the constrained optimization problem of steelmaking-continuous casting production scheduling into a multi-objective optimization problem containing two objectives, wherein the first objective is to minimize the sum of the completion time of the whole factory and the waiting time of all furnaces, and the second objective is to minimize the sum of equipment conflict time; building a corresponding multi-objective optimization model of steelmaking-continuous casting production scheduling, wherein the multi-objective optimization model is characterized by minimizing first and second objective function values; defining the dominance relation between individuals in an evolution population; and adopting a multi-objective evolutionary algorithm NSGA-II to solve the multi-objective optimization model. By converting the complex constrained optimization problem of steelmaking-continuous casting production scheduling into the multi-objective optimization problem containing two objectives, hard-to-meet constraints during solving for the traditional method are relaxed, and the possibility of operation convergence is improved while the iterative computation load is reduced.

Description

technical field [0001] The invention belongs to the field of steelmaking-continuous casting production technology, in particular to a multi-objective optimization method for steelmaking and continuous casting production scheduling based on NSGA-II. Background technique [0002] The steelmaking-continuous casting production process is the core link in the production process of modern iron and steel complexes. In this production process, the molten iron from the blast furnace is first smelted into high-temperature molten steel by converter or electric furnace, and then refined by a refining furnace to meet the requirements of molten steel. The chemical composition and temperature requirements are finally sent to the continuous casting machine to be cast into slabs or billets of different specifications. The improvement of production efficiency in the steelmaking-continuous casting production process has an important impact on the entire iron and steel enterprise, and making a ...

AI Technical Summary

Problems solved by technology

An obvious shortcoming of the above-mentioned traditional method is that the conflict-free situation of each equipment in the steelmaking-continuous casting plant is expressed as a constraint condition, and this constraint condition is difficult to satisfy. A large number of complicated trials, adjustments, and reciprocal iterative calculations are performed on the input conditions, and the convergence of the solution calculation is not guaranteed.

Images