555
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Optimal Sizing of Recycling Folded Cascode Amplifier for Low-Frequency Applications Using New Hybrid Swarm Intelligence-Based Technique

, , , &

References

  • Assad, R. S., and J. S. Martine. 2009. The recycling folded cascode: A general enhancement of the folded cascode amplifier. IEEE Journal of Solid-state Circuits 44 (9):2535–42. doi:10.1109/JSSC.2009.2024819.
  • Chen, W. N., J. Zhang, Y. Lin, N. Chen, Z. H. Zhan, H. Chung, Y. Li, and Y. Hshi. 2013. Particle swarm optimization with an aging leader and challengers. IEEE Transactions on Evolutionary Computation 17:241–58. doi:10.1109/TEVC.2011.2173577.
  • De, B. P., R. Kar, D. Mandal, and S. P. Ghoshal. 2015. Optimal analog active filter design using craziness based particle swarm optimization algorithm. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 28 (5):593–609. doi:10.1002/jnm.2040.
  • De, B. P., K. B. Maji, D. Chowdhury, R. Kar, D. Mandal, and S. P. Ghoshal. 2017. Application of PSO variants for optimal design of two-stage CMOS Op-amp with Robust bias circuit. Lecture notes on electrical engineering, communication, devices and computing, proceedings of ICCDC, Springer, Haldia, West Bengal, India, 263–72.
  • De, B. P., K. B. Maji, R. Kar, D. Mandal, and S. P. Ghoshal. 2018. Design of optimal CMOS analog amplifier circuits using a hybrid evolutionary optimization technique. Journal of Circuits, Systems, and Computers 27 (2):18500–1:23. doi:10.1142/S0218126618500299.
  • Derrac, J., S. Garcia, D. Molina, and F. Herrera. 2011. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm and Evolutionary Computation 1:3–18. Elsevier. doi:10.1016/j.swevo.2011.02.002.
  • Du, D., and K. M. Odame. 2013. A bandwidth-adaptive preamplifier. IEEE Journal of Solid-state Circuits 48 (9):2142–53. doi:10.1109/JSSC.2013.2266869.
  • Fakhfakh, M., Y. Cooren, A. Sallem, M. Loulou, P. Siarry. 2010. Analog circuit design optimization through the particle swarm optimization technique. Analog Integrated Circuits and Signal Processing 63:71–82. doi:10.1007/s10470-009-9361-3.
  • Holland, J. H. 1992. Genetic algorithms. Scientific American 267:66–72. doi:10.1038/scientificamerican0792-66.
  • Kennedy, J., and R. C. Eberhart. 1995. Particle swarm optimization. Proceedings of the 1995 IEEE international conference on neural networks, IEEE Service Center, Piscataway, NJ.
  • Laskar, N. M., K. Guha, I. Chattarjee, S. Chanda, K. L. Baishnab, and P. K. Paul. 2018. HWPSO: A new hybrid whale-particle swarm optimization algorithm and its application in electronic design optimization problems. Applied Intelligence. Springer. doi: 10.1007/s10489-018-1247-6.
  • Laskar, N. M., S. Nath, S. Chanda, and K. L. Baishnab. 2017. A high gain, low power two stage OpAmp using self cascoding technique for low frequency application. IEEE conference on devices for integrated circuits (DevIC), Kalyani, India.
  • Liu, H., G. Xu, G. Y. Ding, and Y. B. Sun. 2014. Human behavior based particle swarm optimization. Hindawi Publishing Corporation, The Scientific World Journal 2014:1-14.
  • Mallick, S., R. Kar, D. Mandal, and S. P. Ghoshal. 2016. CMOS analogue amplifier circuits optimisation using hybrid backtracking search algorithm with differential evolution. Journal of Experimental and Theoritical Artificial Intelligence, Taylor and Francis 28 (4):719–49. doi:10.1080/0952813X.2015.1042533.
  • Mirjalili, S. 2016. Dragonfly algorithm: A new meta-heuristic optimization technique for solving single-objective, discrete, and multi- objective problems. Neural Computing and Applications 27 (4):1053–73. Springer. doi:10.1007/s00521-015-1920-1.
  • Mirjalili, S., A. H. Gandomi, S. Z. Mirjalili, S. Saremi, H. Faris, and S. M. Mirjalili. 2017. Salp Swarm algorithm: A bio-inspired optimizer for engineering design problems. Advances in Engineering Software 114:163–91. Elsevier (In Press). doi:10.1016/j.advengsoft.2017.07.002.
  • Mirjalili, S., and A. Lewis. 2016. The Whale optimization algorithm. Advances in Engineering Software 95:51–67. doi:10.1016/j.advengsoft.2016.01.008.
  • Paul, P. K., N. M. Laskar, S. Nath, and K. L. Baishnab. 2015. Performance analysis of new swarm intelligence based algorithms in optimizing the design of CMOS folded cascode OPAMP and comparator circuits. International Journal of Applied Engineering Research 10 (5):43620–29.
  • Price, K., and R. Storn. 1995. Differential evolution – A simple and efficient adaptive scheme for global optimization over continuous spaces. Technical report, International Computer Science Institute, Berkley.
  • Puhan, J., A. Burmen, and T. Tuma. 2003. Analogue integrated circuit sizing with several optimization runs using heuristics for setting initial points. Canadian Journal of Electrical and Computer Engineering 28 (3/4):105–11. doi:10.1109/CJECE.2003.1425097.
  • Ranjini, S., and S. Murugan. 2017. Memory based hybrid Dragonfly algorithm for numerical optimization problems. Expert Systems with Applications 83:63–78. Elsevier. doi:10.1016/j.eswa.2017.04.033.
  • Rao, S. S. 2009. Engineering optimization theory and practice. 4th ed. Hoboken, New Jersey: John Wiley & Sons Inc.
  • Vural, R. A., and T. Yildirim. 2011. Swarm intelligence based sizing methodology for CMOS operational amplifier. Proceeding of 12th IEEE symposium on computational intelligence and informatics, Budapest, Hungary, 525–28.
  • Wattanapanitch, W., M. Fee, and S. Sarpeshkar. 2007. An energy efficient micropower neural recording amplifier. IEEE Transactions on Biomedical Circuits and Systems 1 (2):136–47. doi:10.1109/TBCAS.2007.907868.
  • Zhang, W. J., and X. F. Xie. 2003. DEPSO: Hybrid particle swarm with differential evolution operators. Proceedings of the IEEE international conference on system, security and assurance, Beijing, China, 3816–21.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.