摘要
针对多分厂、多机型的钢铁企业年度生产计划问题,建立一个以提高经济效益为目的,包含生产工艺、资源和能力等约束的多层递阶优化数学模型,并研究了模型的算法.该算法首先从产品结构的角度将多层问题转换为两层模型,然后对此两层模型利用遗传算法和二阶段法进行求解.仿真结果表明了该模型和算法的有效性和可行性.
To the annual production planning problem for iron and steel enterprises with multi-plants and multi-(machines,) a mathematical model is proposed that belongs to a multi-level hierarchical optimal problem and an (algorithm) is discussed to solve the model. The model objective is to improve economic profit, and its constraints (involve) the work manufacture processes, resources and production capacity etc. The algorithm transferes the (multi-level) model into a bi-level one according to the structure of the products. Then the bi-level model is calculated by combining genetic algorithm with two-phase method. The simulation results show that this model and its (algorithm) are valid and feasible.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第6期695-698,共4页
Control and Decision
基金
国家"九五"重点科技攻关计划项目(97 562 01 05).
关键词
钢铁企业
年度生产计划
递阶优化
遗传算法
iron and steel enterprise
annual production planning
hierarchical optimal
genetic algorithm
