Modeling and Optimization Method of Molten Aluminum Distribution Scheduling Problem with Constrained Multi-Objective

Abstract

Established a mathematical model, and put forward a new optimization method in order to solve the problem of molten aluminum distribution scheduling with constrained multi-objective in the production of electrolytic aluminum. Firstly, An antibody expression pattern based on intermediate coding sequence was designed. And used the fitness evaluation method with reward and punishment function to deal with the optimization objectives of the shortest path length of the crane, the largest number of low-impurity ladle bags, and the constraints of quality, crane path span, and full load rate; Finally, the iterative calculation is carried out by using the immune clonal algorithm. In this paper, an example of molten aluminum distribution scheduling from an electrolytic aluminum plant in China is given to verify the effectiveness of the method.