An Improved Elitist GA-based Solution for Integrated Batch Planning Problem in a Steelmaking Plant

Abstract

To solve the problem of preparing the integrated batch planning for a steelmaking plant, this paper considers the continuous/quasi-continuous characteristics of the steel manufacturing process operation. On the premise of analysing the constraints of steelmaking procedure and continuous casting procedure, this paper firstly develops the charge plan model and casting plan model, and then forms and solves the integrated batch planning model. According to the actual of the production site, this paper introduces an improved elitist genetic algorithm (IEGA), defines the matching chromosome coding and decoding strategies with the actual, and suggests improving the genetic operators. Finally, we verify the proposed model and algorithm on the production data of a real steelmaking plant. We clarify the applicability of developing an integrated batch planning model based on model analysis and demonstrate the effectiveness of the IEGA through algorithm analysis.