Quantum-behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations

摘要：

　　A quantum-behaved particle swarm optimization algorithm is presented in this paper for solving nonlinear equations.The positions of particle are coded by probability amplitudes of qubits that are updated by quantum rotation gates in this method.The corresponding real number solution at specified interval can be extracted by this algorithm for solving nonlinear equations.Compared to real traditional method,the simulation results show that this algorithm is more accurate and effective.

关键词： Quantum Particle Swarm Optimization Quantum rotation gates Nonlinear equations Function optimization

作者: Xiaofeng Zhang Guifang Sui

作者单位: College of Information Engineering, Nanchang Hangkong University Nanchang, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1674-1677

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）