Application of Improved Particle Swarm Optimization Algorithm in Reliability Analysis
For highly nonlinear problems,single-species particle swarm optimization(PSO)is easy to lose its diversity and get into the local optimal solution,a multi-population adaptive interactive learning improved particle swarm optimization(MAILP-SO)is proposed.The algorithm divides the whole population into several different populations,implements different strategies,and learns from each other among the populations to take into account the global search ability and the local convergence ability.The simulation results of typical functions show that the algorithm has stronger convergence ability and higher convergence preci-sion.Finally,MAILPSO is applied to evaluate the reliability index of building beam to prove the practicability of the method.
万方数据
维普
