A Study of Estimation Problem from Viewpoint of Conditional Optimization and Designing of Evolutionary Estimator
Ramazan Havangi, Mohammad Teshnehlab, Nekoui, Hamid D. Taghirad · 2011
In this paper, estimation problem is considered as a conditional optimization problem and then is solved using both differential evolution (DE) and particle swarm optimization (PSO).The proposed filter searches stochastically along the state space and obtains the best estimation at any time. The performance of the proposed filter, based on differential evolution (DE) and particle swarm optimization (PSO), is compared with extended Kalman filter (EKF) and with particle filter in different conditions for a non-linear system. Simulation results show that the performance of evolution filters in different conditions is superior to extended Kalman and particle filters.