Hybrid particle swarm optimization-simplex algorithm for inverse problem
Inverse problem requiring repeated forward computation is a hard ill-posed problem. Traditional linear inversion methods like Newton method and Newton-like methods may not be optimal convergent if a good initial estimate cannot be provided. Considering that the exiting particle swarm optimization algorithm(PSO) can not take evolution speed and solution quality into account at the same time, a hybrid simplex particle swarm optimization algorithm (HPSO) which combines simplex method with PSO is proposed for wave impedance inverse problem. Application example shows that the proposed algorithm possesses the advantages of both PSO and simplex search method, which have the features of quick convergence and high accuracy of identification. The proposed algorithm is an efficient tool for wave impedance inverse and it performs much better than PSO on such problems.
PSO simplex method hybrid algorithm inverse problem
NIE Ru YUE Jian-hua DENG Shuai-qi
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, School of Resources and Earth Sciences, China University of Mining and Technology, Xuzhou 221116, Ch
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3439-3442
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）