基于微粒群优化的智能位移反分析研究

优化技术是影响反分析精度和效率的重要因素,将微粒群优化技术与支持向量机技术结合,提出了一种新的智能位移反分析方法。该方法利用了支持向量表达非线性关系方面的优良特性,可以避免大量的数值计算,同时充分利用微粒群的全局优化、收敛速度快的优点。将提出的方法应用到具体的算例中,比较表明,本方法是一种科学、可行、收敛快、精度高的优秀算法。

Back analysis of intelligent displacement based on particle swarm optimization

Optimization technique was an important factor to displacement back analysis, it influenced the precision and efficiency. A new intelligent displacement back analysis which combined particle swarm optimization with support vector machine was proposed. The approach not only used the excellent characteristics of support vector machine which presented nonlinear relationship and avoided the complex computation, but also used the global optimization performance of particle swarm optimization with quick convergence. The approach was applied to a example, and compared with other approaches. It was shown that this approaches was an excellent algorithm which was scientific and feasible with good convergence.