1. [1] G. Bernard, T. G. Stockham, A. V. Oppenheim and C. M. Rader. Digital processing of signals. 1969.
2. [2] D. S. Coelho, L. and V. Cocco Mariani. "Combining of differential evolution and implicit filtering algorithm applied to electromagnetic design optimization", In Soft Computing in Industrial Applications, pp. 233-240. Springer, Berlin, Heidelberg, 2007.
3. [3] S. Ahmad, Design of digital filters using genetic algorithms. PhD diss., 2008.
4. [4] J. H. Holland, "Genetic algorithms and the optimal allocation of trials," SIAM Journal on Computing, Vol. 2, no. 2, pp. 88-105, 1973. [
DOI:10.1137/0202009]
5. [5] S. Bernardino, Heder, and H. Barbosa, "Artificial immune systems for optimization", Nature-Inspired Algorithms for Optimisation, pp. 389-411, 2009. [
DOI:10.1007/978-3-642-00267-0_14]
6. [6] M. Dorigo, and C. Blum. "Ant colony optimization theory: A survey", Theoretical computer science, Vol. 344, no. 2-3, pp. 243-278, 2005. [
DOI:10.1016/j.tcs.2005.05.020]
7. [7] E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi. "GSA: A gravitational search algorithm", Information sciences, Vol. 179, No. 13, pp. 2232-2248, 2009. [
DOI:10.1016/j.ins.2009.03.004]
8. [8] J. Kennedy, R. Eberhart, "Particle swarm optimization," Neural Networks, 1995.
9. [9] S. Kockanat, and N. Karaboga, "The design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms: a review of the literature ", Artificial Intelligence Review, Vol. 44, No. 2, pp. 265-287, 2015. [
DOI:10.1007/s10462-014-9427-1]
10. [10] A. Aggarwal, T. K. Rawat, and D. K. Upadhyay, "Design of optimal digital FIR filters using evolutionary and swarm optimization techniques", AEU-International Journal of Electronics and Communi-cations, Vol. 70, No. 4, pp. 373-385, 2016. [
DOI:10.1016/j.aeue.2015.12.012]
11. [11] A. Gotmare, S. S. Bhattacharjee, R.Patidar, and N. V. George, "Swarm and evolutionary computing algorithms for system identification and filter design: a comprehensive review", Swarm and Evolutionary Compu-tation, Vol. 32, pp. 68-84, 2017. [
DOI:10.1016/j.swevo.2016.06.007]
12. [12] M. Kumar and T. K. Rawat, "Optimal fractional delay-IIR filter design using cuckoo search algorithm", ISA transactions, Vol. 59, pp. 39-54, 2015. [
DOI:10.1016/j.isatra.2015.08.007] [
PMID]
13. [13] J. Dash, B. Dam, and R. Swain, "Optimal design of linear phase multi-band stop filters using improved cuckoo search particle swarm optimization", Applied Soft Computing, Vol. 52, pp. 435-445, 2017. [
DOI:10.1016/j.asoc.2016.10.024]
14. [14] D. Bose, S. Biswas, A. V. Vasilakos, , and S.Laha, "Optimal filter design using an improved artificial bee colony algo-rithm", Information Sciences, Vol. 281, pp. 443-461, 2014. [
DOI:10.1016/j.ins.2014.05.033]
15. [15] A. Chottera and G. Jullien, "A linear programming approach to recursive digital filter design with linear phase", IEEE transactions on circuits and systems, Vol. 29, no. 3, pp. 139-149, 1982. [
DOI:10.1109/TCS.1982.1085123]
16. [16] A. Jiang. IIR digital filter design using convex optimization, PhD diss., 2010.