Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques
The evolutionary filter design technique is proposed for 2-D recursive filters. COBFO and CS algorithms are used to optimize filter parameters. Constraint handling and repair is incorporated to ensure stability. Optimal values for filter parameters are obtained. The proposed method provides stability and outperforms other methods.
recursive filters multidimensional systems constrained optimization cuckoo search algorithm genetic algorithm bacteria foraging optimization