Stochastic search in data-based modelling of dynamic systems
Shane Butler · 2004
The paper compares the application of two stochastic search techniques for the solution of two typical problems in modelling nonlinear systems using a multi-modelling approach: interpolation function determination; linear model structure determination. It is shown that the two candidate stochastic search techniques employed, genetic algorithms and swarm intelligence, show different advantages for each of the problems considered.