求解复杂化学方程根的改进型粒子群算法  

Improving Particle Swarm Optimization for Solving Roots of Complicated Chemical Equations

作　　者：韦修喜[1] 周永权[2] 曾海文[1] 

机构地区：[1]广西国际商务职业技术学院信息工程系,南宁530007 [2]广西民族大学数学与计算机科学学院,南宁530006

出　　处：《微计算机信息》2010年第33期219-220,181,共3页Control & Automation

摘　　要：针对粒子群优化算法容易陷入局部极值点,进化后期收敛速度慢,精度较差等缺点,把变异算子嵌入到粒子群优化算法中,提出一种改进型粒子群优化算法,并用于求解复杂化学方程的根。通过实例测试证明,该算法收敛速度快,精度高,是一种求解复杂化学方程根的有效方法。To overcome the disadvantage of particle swarm optimization algorithm （PSO） such as easily trapping in local optimum, low convergence rate and low optimizing precision and so on, an improving particle swarm optimization algorithm （IPSO） is proposed, where the mutation operator is combined with PSO, and then is used for solving roots of complicated chemical equations. The experimental results through practical problems show that this method has high speed of constringency and exactness. It ’s an efficient method in working out the roots of complicated chemical equations.

关 键 词：粒子群优化算法 化学方程 根 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]