Multi_objective Model of Mized Continuous/Batch Plants Planning Problem and Its Particle Swarm Optimization Algorithm

摘要：

A multi-objective, multi-level, multi-product, multi-constraint batch planning problem is abstracted from production of diaphragm caustic soda, and the problem is formulated as a mathematic optimization model with constraints involved resources, work manufacture processes and production capacity etc. Some sub_objectives were considered in the problem model, such as total profit amount, profit margin, total energy wastage and wastage per ten thousand RMB.A modified particle swarm optimization algorithm with a percent-coding and dynamic-bounds coding scheme is proposed for the problem. The validity and flexibility of the model and algorithm are verified by calculating the data from production practices numerically.

关键词： Medium-term Planning Problem Particle Swarm Optimization Algorithm Multi_objective

作者: XU Xinli DAI Xinhua HAO Ping WANG Wanliang

作者单位: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014 Software College , Zhejiang University of Technology, Hangzhou 310023, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 2521-2526

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）