| 改进粒子群算法及其对热连轧机负荷分配优化的研究 |
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| 引用本文： | 王建辉,徐林,闫勇亮,顾树生.改进粒子群算法及其对热连轧机负荷分配优化的研究[J].控制与决策,2005,20(12):1379-1383. |
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| 作者姓名： | 王建辉 徐林 闫勇亮 顾树生 |
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| 作者单位： | 1. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室,沈阳,110004;东北大学信息科学与工程学院,沈阳,110004
2. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室,沈阳,110004 |
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| 基金项目： | 国家自然科学基金项目（60274024,60474040）. |
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| 摘 要： | 提出一种基于适应度方差的权重梯度方向变异的改进粒子群优化算法（IPSO）,通过判断适应度方差,按照权重梯度方向进行变异操作,解决了PSO算法的早熟收敛和易于陷入局部极值的问题.应用IPSO算法对精轧机组负荷分配进行优化,根据负荷分配优化策略,给出综合板形板厚的最小方差目标函数,在实现各机架负荷分配优化的同时,提高板形质量.仿真结果表明,该算法计算精度高,收敛速度快,为精轧机组轧制规程的智能优化设计提供了一种新的有效方法.
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| 关 键 词： | 粒子群算法 权重梯度方向 变异 热连轧机 负荷分配优化 |
| 文章编号： | 1001-0920(2005)12-1379-05 |
| 收稿时间： | 2005-04-11 |
| 修稿时间： | 2005-06-09 |
Improved PSO and Its Application to Load Distribution Optimization of Hot Strip Mills |
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| XU Lin,WANG Jian-hui,YAN Yong-liang,GU Shu-sheng.Improved PSO and Its Application to Load Distribution Optimization of Hot Strip Mills[J].Control and Decision,2005,20(12):1379-1383. |
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| Authors: | XU Lin WANG Jian-hui YAN Yong-liang GU Shu-sheng |
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| Abstract: | An improved particle swarm optimization(IPSO) algorithm with the mutation in weighted gradient direction based on the evaluation of the fitness variance is presented,which can avoid the shorts of easily getting in local extremum and easy in premature convergence.The IPSO is used to optimize the scheduling of the finishing of hot strip mills.Based on the strategy of load distribution optimization,the minimum variance object function of shape and gauge control is proposed in the condition of making sure of good shape.It realizes the load distribution optimization.The results of emulation show that IPSO is more precise in calculating and more fast in convergence than others, and provides a new valid method for the intelligent optimum design of scheduling hot strip mills. |
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| Keywords: | Particle swarm optimization algorithm Weight gradient direction Mutation Hot strip mills Load distribution optimization |
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