钢铁企业副产煤气优化调度问题模型及算法  

Model and Algorithm for the Byproduct Gases Scheduling Problem in Iron and Steel Enterprises

作　　者：施灿涛[1,2] 刘自升[1] 李铁克[1,2] 王宁宁[1] 

机构地区：[1]北京科技大学东凌经济管理学院,北京100083 [2]钢铁生产制造执行系统技术教育部工程研究中心,北京100083

出　　处：《工业工程与管理》2012年第2期26-32,共7页Industrial Engineering and Management

基　　金：教育部博士学科点专项科研基金(20100006110006);中央高校基本科研业务费专项资金(FRF-AS-09-007B)

摘　　要：考虑钢铁企业副产煤气优化调度问题,在分析问题特征的基础上,建立了数学规划模型。针对模型特点,将遗传算法与混沌理论相结合进行模型求解,在初始种群中引入基于启发式规则生成的优良个体来提高收敛速度;通过建立个体精英库防止最优值的丢失;引入基于混沌序列的邻域搜索以提高算法的寻优效率。通过仿真实验验证了模型与算法的可行性和有效性。Concentrating on the byproduct gases scheduling problem in iron and steel enterprises,this paper establishes a mathematical programming model with consideration of problem features.According to the characteristics of the model,a solution combining genetic algorithms with chaos theory is proposed,in which a heuristic rule is introduced to generate some elitist individuals at initiation stage to fasten GA＇s convergence speed;an individual elite library is adopted to prevent the loss of the optimal value;a neighborhood search procedure based on chaotic sequence is employed to improve the optimization efficiency of algorithm.The result of simulation experiment indicates the feasibility and effectiveness of the proposed model and algorithm.

关 键 词：能源管理 煤气调度 数学规划 遗传算法 钢铁生产 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]