%0 Journal Article
%T Improved multi-objective particle-swarm algorithm and its application to electric arc furnace in steelmaking process<br>改进多目标粒子群算法及其在电弧炉供电优化中的应用
%A FENG Lin
%A MAO Zhi-zhong
%A YUAN Ping
%A <br>冯琳
%A 毛志忠
%A 袁平
%J 控制理论与应用
%D 2011
%I 
%X We propose a chaos region changed multi-objective particle-swarm optimization algorithm(CRMOPSO) for optimizing the power supply for the electric arc furnace in a steelmaking process. All index functions with constraints are summed up with different weighting factors into a single performance function to be optimized. To deal with the inherent disadvantage of slower convergence and low accuracy of basic multi-objective particle -swarm algorithm, a variable-domain acceleration operator is introduced to expedite the convergence process the algorithm. Meanwhile, a chaotic operator is employed to prevent the algorithm from prematurity by enhancing the algorithm searching capability around local optimal solutions. A restricted competition selection(RCS) operator is used to guarantee the diversity of populations during the evolution process. After a new power supply model has been built, the CRMOPSO was applied to optimize the steelmaking process; it reduces the electric energy consumption, shorten the melting time and prolong the lifespan of the furnaces lining. The application results show the efficacy of the proposed algorithm.
%K particle swarm optimization algorithm
%K multi-objective optimization
%K power supply curve optimization
%K variable domain acceleration operator
%K chaotic operator<br>粒子群算法
%K 多目标优化
%K 供电曲线优化
%K 变区域加速算子
%K 混沌算子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=0AAC9CFC9B630DAABD56A9CB46D47A2D&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=0049ED447A3A3206&eid=A31FC75D5A96DC31&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=15