STOCHASTIC STABILITY AND NUMERICAL ANALYSIS OF TWO NOVEL ALGORITHMS OF THE PSO FAMILY: PP-GPSO AND RR-GPSO

The PSO algorithm can be physically interpreted as a stochastic damped mass-spring system: the so-called PSO continuous model. Furthermore, PSO corresponds to a particular discretization of the PSO...

[1]  Brian Birge,et al.  PSOt - a particle swarm optimization toolbox for use with Matlab , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[2]  Esperanza García Gonzalo,et al.  Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling , 2011, ICSI.

[3]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[4]  J. Fernández-Martínez,et al.  Particle swarm optimization applied to solving and appraising the streaming-potential inverse problem , 2010 .

[5]  Ioan Cristian Trelea,et al.  The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..

[6]  J. F. Martínez,et al.  The generalized PSO: a new door to PSO evolution , 2008 .

[7]  Riccardo Poli,et al.  Particle Swarms: The Second Decade , 2008 .

[8]  Esperanza García Gonzalo,et al.  The PSO family: deduction, stochastic analysis and comparison , 2009, Swarm Intelligence.

[9]  Juan Luis Fernández-Martínez,et al.  Joint Inversion of Time-Lapse Seismic And Production Data For Norne Field , 2011 .

[10]  Esperanza García Gonzalo,et al.  PSO: A powerful algorithm to solve geophysical inverse problems: Application to a 1D-DC resistivity case , 2010 .

[11]  J. Fernández-Martínez,et al.  Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models , 2011, IEEE Transactions on Evolutionary Computation.