摘要
为了提高绝对值方程问题的求解精度,提出改进粒子群优化算法的绝对值方程求解方法.首先在粒子群的飞行过程中,对粒子位置进行评价,然后根据评价结果对粒子位置进行更新操作,保证粒子群向全局最优解搜索,最后应用于绝对值方程求解.结果表明,改进后的方法可以避免求解时易出现的早熟现象和难以获得局部最优解问题,能获得更高精度的绝对值方程解,而且迭代次数较少.
In order to improve the accuracy of absolute value equation, a method for solving the absolute value equation based on improved particle swarm optimization algorithm is proposed. Firstly, in the/light process of particle swarm, the position of particle is evaluated,and secondly the particle position is updated according to evaluation results to ensure particle swarm search to the global optimal solution, finally it is applied to absolute value equations. The results show that the improved method can avoid the premature phenomenon and easy to obtaining the local optimal solution, can obtain higher accuracy solution of absolute value equation,and the number of iterations are less.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第1期10-12,16,共4页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
湖北省高等学校教学研究项目(2012458)
关键词
绝对值方程
粒子群优化算法
求解精度
迭代次数
位置更新
absolute value equation
particle swarm optimization （PSO） algorithm
solution precision
number of iterations
location update
