摘要
研究了粒子群优化算法,探讨了算法的在线与离线性能指标,在此基础上,将粒子群算法与罚函数相结合,提出一种求解有约束问题的优化算法,用MATLAB实现了对典型多峰函数优化计算,仿真结果表明验证了它的收敛性、有效性,对典型的优化问题能以较大概率收敛到全局最优.
A particles swarm optimization (PSO) and its on line and off line performance are investigated in this paper. Based on combination of POS and penalty function, an algorithm for constrained optimization problem which solved by improved particles swarm optimization and MATLAB is proposed. Simulation results shows that a global optimum can be obtained and the algorithm is converge and feasible.
出处
《中原工学院学报》
CAS
2007年第4期13-15,71,共4页
Journal of Zhongyuan University of Technology
基金
河南省自然科学基金项目(0611050400)
关键词
粒子群
在线性能
离线性能
优化计算
约束
particles swarm optimization
on line performance
off line performance
optimization
con-strained optimization