A Multi-objective Evolutionary Algorithm for Seamless Steel Tube Order-grouping Problem

摘要

The order-grouping problem of Hot Rolling Seamless Steel Tube is studied in this paper. A multi-objective optimization model minimizing overall delivery date and address difference is established, then a multi-objective evolutionary algorithm with elite-strategy and crowding distance computing is designed to solve this problem. The experiment indicates that the algorithm can solve this problem effectively and is useful for practical production.