控制理论与应用2011，Vol.28Issue(10)：1455-1460,6.
改进多目标粒子群算法及其在电弧炉供电优化中的应用
Improved multi-objective particle-swarm algorithm and its application to electric arc furnace in steelmaking process
摘要
Abstract
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.关键词
粒子群算法/多目标优化/供电曲线优化/变区域加速算子/混沌算子Key words
particle swarm optimization algorithm/multi-objective optimization/power supply curve optimization/variable domain acceleration operator/chaotic operator分类
信息技术与安全科学引用本文复制引用
冯琳,毛志忠,袁平..改进多目标粒子群算法及其在电弧炉供电优化中的应用[J].控制理论与应用,2011,28(10):1455-1460,6.基金项目
国家高新技术研究发展计划资助项目（2007AA042194）. （）
