CAJ | 학술논문

合理的轧制规程能够提高轧机的产量和产品的质量，带来显著的经济效益。采用多目标粒子群算法，选择等相对负荷和预防打滑为目标进行冷连轧规程优化。针对算法存在的收敛性和分布性难以均衡的问题，引入一种基于平行坐标系的密度和收敛潜能计算方法；同时，为克服算法易于陷入局部最优的缺陷，提出一种带个体扰动的全局最优领导粒子选择策略。仿真结果表明，该方法能快速跳出局部极值，获得具有更好收敛性和分布性的近似 Pareto 前沿。最后应用该方法对某五机架冷连轧机进行了轧制规程优化。
합리적알제규정능구제고알궤적산량화산품적질량，대래현저적경제효익。채용다목표입자군산법，선택등상대부하화예방타활위목표진행랭련알규정우화。침대산법존재적수렴성화분포성난이균형적문제，인입일충기우평행좌표계적밀도화수렴잠능계산방법；동시，위극복산법역우함입국부최우적결함，제출일충대개체우동적전국최우령도입자선택책략。방진결과표명，해방법능쾌속도출국부겁치，획득구유경호수렴성화분포성적근사 Pareto 전연。최후응용해방법대모오궤가랭련알궤진행료알제규정우화。
Reasonable rolling schedule could improve the quality of the mill’s production and products thus bring significant economic benefits.The multi-objective particle swarm algorithm was adopted to optimize the objective functions of equal relative load and the slip rate.According to the problems that convergence and distribution were difficult to balance,based on parallel cell coordinate system a novel method was proposed to assess the evolutionary environment including density and po-tential of convergence.Meanwhile,to enhance the ability of escaping from local optima,a disturbance vector strategy was proposed for selecting global best.Simulation results show the improved strategy can be able to prevent falling into local extremum point,and improve the convergence and distribution of approximate Pareto front.The method was applied to a five-stand tandem cold mill rolling schedule optimization.