基于多子群目標分段差分進化的多目標熱連軋負荷分配

Multi-objective load distribution of hot strip mills based on multi-swarm and sub-objective differential evolution

摘要: 針對熱連軋負荷分配的目標函數處理中采用的加權系數不好確定的問題,設計了一種多子群目標分段優化的差分進化算法.每個子群優化目標函數的一個子目標,子群之間獨立進化,不但解決了加權系數問題,并且提高了算法的收斂速度和精度.最后,算法的有效性通過仿真進行了驗證.

Abstract: A differential evolution algorithm based on multi-swarm and sub-objective optimization is presented in order to solve the difficulty in selecting the weighting coefficients in processing the objective function of hot strip mills.Each sub-swarm optimizes a sub-objective and evolves independently.This not only solves the issue of weighting coefficients,but also increases the convergence speed and accuracy.Finally,the algorithm's effectiveness is verified by simulation.