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基于内分泌激素调节机制的自适应免疫算法的flow shop调度问题
An Adaptive Immune Algorithm Based on Regulation Laws of Hormone in the Endocrine System for Scheduling Problems of Flow Shop
【Author】 Wang Yi,Gu Xingsheng,Xu Zhenhao Institute of Automatic Control,East China University of Science and Technology,Shanghai 200237,P.R.China
【机构】 华东理工大学信息科学与工程学院;
【摘要】 针对间歇生产过程中存在的无限中间储罐的flow shop调度问题,建立了相应的数学模型;并基于内分泌激素调节规律,提出了一种新颖的解决此类问题的自适应内分泌免疫调度算法。仿真实例表明,该算法的收敛速度和搜索精度均优于改进的免疫算法,证明了该算法的有效性和优越性。
【Abstract】 A new model which describes the flow shop scheduling problems with unlimited intermediate storage in the batch plant is constructed.A novel adaptive endocrine & immune algorithm(EIA)is first proposed based on the regulation laws of hormone in the endocrine system.The simulation results show the convergence rate and search precision of EIA are better than those of the improved immune algorithm,thus verifying the validity and excellence of EIA approach.
【Key words】 production scheduling; endocrine; immune algorithm; flow shop; unlimited intermediate storage;
- 【会议录名称】 第二十六届中国控制会议论文集
- 【会议名称】第二十六届中国控制会议
- 【会议时间】2007-07-26
- 【会议地点】中国湖南张家界
- 【分类号】TP18;O242.1
- 【主办单位】中国自动化学会控制理论专业委员会(Technical Committee on Control Theory,Chinese Association of Automation)