%0 Journal Article
%T Model and algorithm for scheduling reheating furnace<br>加热炉优化调度模型及算法研究
%A TAN Yuan-yuan
%A SONG Jian-hai
%A LIU Shi-xin
%A <br>谭园园
%A 宋健海
%A 刘士新
%J 控制理论与应用
%D 2011
%I 
%X Reheating furnace is the major equipment in the hot-rolled production. Improving the scheduling of reheating furnace is an effective way to reduce the energy consumption and production costs. According to the production process and constraints on the reheating furnace, we propose a mathematical model for scheduling the reheating furnace, and present a scatter search(SS) algorithm to solve this model. We also design the random-variable-sequence-based voting combination operator(RVSBVCO) and the one-point-crossover combination operator(OPCCO). From the production data of an ironand-steel production enterprise, we randomly generate 40 instances for testing the model and the algorithm. The impact on the effectiveness and efficiency of the algorithm from the sizes of reference sets and two combination operators is evaluated and compared with the results obtained from the genetic local search(GLS) algorithm. Results show that the proposed model and algorithm are effective for solving the reheating furnace scheduling problem.
%K scheduling reheating furnace
%K biding time in furnace
%K candidate slab set
%K scatter search
%K combination operator
%K genetic local search<br>加热炉调度
%K 住炉时间
%K 候选板坯集合
%K 分散搜索算法
%K 组合算子
%K 遗传局域搜索算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=16FC016E5CDA6462136F4D1D26553AEA&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=B32C18974698DFB1&eid=CDD86F65AA3A5D34&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=17