基于遗传算法的钢铁产品生产计划模型研究  

Research on production planning modeling of steel enterprise based on genetic algorithm

作　　者：蒋国璋[1] 孔建益[1] 李公法[1] 熊禾根[1] 杨金堂[1] 

机构地区：[1]武汉科技大学机械自动化学院,武汉430081

出　　处：《机械设计与制造》2007年第5期204-206,共3页Machinery Design & Manufacture

基　　金：武汉科技大学机械传动与制造工程湖北省重点实验室基金资助2005A06

摘　　要：针对钢铁生产的主要流程的特点,分析研究钢铁企业生产计划的制订、执行和反馈等生产计划方面的问题;运用运筹学的规划理论并基于遗传算法,考虑分段以及环境变化的因素,探讨建立一个适用变化情况和环境的先进生产计划模型。同时,结合企业实际改进这些算法和求解过程,提出优化模型和优化方案。According to the main flow characteristics of steel and iron production, some problems are analyzed coming from the making perforrnance and feedback of the production planning of iron and steel business enterprise in the paper.By using operation research theories and genetic algorithms,one advanced planning model of steel production suitable of various circumstance and environments is established to set up on the factor of the segment and environment variety. At the same time, to improve these algorithms and the solution process actually some optimized models and projects were put forward from some plans on the base of collecting information.

关 键 词：先进生产计划 钢铁生产 计划模型 遗传算法 

分 类 号：O22[理学—运筹学与控制论]