100
Views
1
CrossRef citations to date
0
Altmetric
Review Article

Multi-objective Naked Mole-Rat Algorithm for UWB Antenna Design

ORCID Icon & ORCID Icon

References

  • A. Darvish and A. Ebrahimzadeh, “Improved fruit-fly optimization algorithm and its applications in antenna arrays synthesis,” IEEE Trans. Ant. Propag., Vol. 66, no. 4, pp. 1756–66, Feb. 2018.
  • I. M. Danjuma, M. O. Akinsolu, C. H. See, R. Abd-Alhameed, and B. Liu, “Design and optimization of a slotted monopole antenna for ultra-wide band body centric imaging applications,” IEEE J. Electromag. RF Microw. Med. Biol., Vol. 4, no. 2, pp. 140–7, 2020.
  • D. Ustun and A. Akdagli, “Design of band-notched UWB antenna using a hybrid optimization based on ABC and DE algorithms,” AEU-Int. J. Elect. Comm., Vol. 87, pp. 10–21, 2018.
  • S. Koziel and A. Bekasiewicz, “Multi-objective optimization of expensive electromagnetic simulation models,” Appl. Soft Comp, Vol. 47, pp. 332–42, 2016.
  • S. Chamaani, S. A. Mirtaheri, M. Teshnehlab, and M. A. Shooredeli, “Modified multi-objective particle swarm optimization for electromagnetic absorber design,” in Asia-Pacific Conf. on Applied Electromag. IEEE, Dec. 2007, pp. 1–5.
  • P. Di Barba, M. E. Mognaschi, D. A. Lowther, and J. K. Sykulski, “A benchmark TEAM problem for multi-objective Pareto optimization of electromagnetic devices,” IEEE Trans. Magnetics, Vol. 54, no. 3, pp. 1–4, 2017.
  • S. Koziel, A. Bekasiewicz, and W. Zieniutycz, “Expedited EM-driven multiobjective antenna design in highly dimensional parameter spaces,” IEEE Ant. Wireless Propag. Lett., Vol. 13, pp. 631–4, 2014.
  • Y. Kuwahara, “Multiobjective optimization design of Yagi-Uda antenna,” IEEE Trans. Ant. Propag., Vol. 53, no. 6, pp. 1984–92, 2005.
  • S. Chamaani, S. A. Mirtaheri, and M. S. Abrishamian, “Improvement of time and frequency domain performance of antipodal Vivaldi antenna using multi-objective particle swarm optimization,” IEEE Trans. Ant. Propag., Vol. 59, no. 5, pp. 1738–42, 2011.
  • S. Koziel, S. Ogurtsov, W. Zieniutycz, and L. Sorokosz, “Simulation-driven design of microstrip antenna subarrays,” IEEE Trans. Ant. Propag., Vol. 62, no. 7, pp. 3584–91, 2014.
  • E. G. Talbi, Metaheuristics: From Design to Implementation, Vol. 74. John Wiley & Sons, 2009.
  • I. Aljarah, M. Habib, H. Faris, N. Al-Madi, A. A. Heidari, M. Mafarja, M. A. Elaziz, and S. Mirjalili, “A dynamic locality multi-objective salp swarm algorithm for feature selection,” Comput. Ind. Eng., Vol. 147, p. 106628, 2020.
  • R. Salgotra, U. Singh, S. Singh, G. Singh, and N. Mittal, “Self-adaptive salp swarm algorithm for engineering optimization problems,” Appl. Math. Model., Vol. 89, pp. 188–207, 2021.
  • R. Salgotra, U. Singh, G. Singh, S. Singh, and A. H. Gandomi, “Application of mutation operators to salp swarm algorithm,” Expert. Syst. Appl., Vol. 169, p. 114368, 2021.
  • S. Etedali, K. Hasankhoie, and M. R. Sohrabi, “Optimal design of pure-friction isolators with and without restoring device: A multi-objective cuckoo search-based approach for seismic-excited structures,” Structures, Vol. 25, pp. 708–19, Jun. 2020.
  • K. Chandrasekaran, S. P. Simon, and N. P. Padhy, “Cuckoo search algorithm for emission reliable economic multi-objective dispatch problem,” IETE J. Res., Vol. 60, no. 2, pp. 128–38, 2014.
  • K. N. A. Rani, M. Abdulmalek, H. A. Rahim, N. S. Chin, and A. Abd Wahab, “Hybridization of strength Pareto multiobjective optimization with modified cuckoo search algorithm for rectangular array,” Sci. Rep., Vol. 7, p. 46521, 2017.
  • D. Lu, L. Wang, E. Yang, and G. Wang, “Design of high-isolation wideband dual-polarized compact MIMO antennas with multiobjective optimization,” IEEE Trans. Ant. Propag., Vol. 66, no. 3, pp. 1522–7, 2017.
  • A. Kaur and K. Kumar, “A reinforcement learning based evolutionary multi-objective optimization algorithm for spectrum allocation in cognitive radio networks,” Phys. Comm., Vol. 43, p. 101196, 2020.
  • A. Prasanth, and S. Jayachitra, “A novel multi-objective optimization strategy for enhancing quality of service in IoT-enabled WSN applications,” Peer-to-Peer Netw. Appl., Vol. 13, no. 6, pp. 1905–20, 2020.
  • H. R. Chi and A. Radwan, “Multi-objective optimization of green small cell allocation for IoT applications in smart city,” IEEE Access, Vol. 8, pp. 101903–14, 2020.
  • K. Sreenu and S. Malempati, “MFGMTS: Epsilon constraint-based modified fractional grey wolf optimizer for multi-objective task scheduling in cloud computing,” IETE J. Res., Vol. 65, no. 2, pp. 201–15, 2019.
  • Q. Al-Tashi, S. J. Abdulkadir, H. M. Rais, S. Mirjalili, H. Alhussian, M. G. Ragab, and A. Alqushaibi, “Binary multi-objective grey wolf optimizer for feature selection in classification,” IEEE Access, Vol. 8, pp. 106247–63, 2020.
  • W. Yin, D. Mavaluru, M. Ahmed, M. Abbas, and A. Darvishan, “Application of new multi-objective optimization algorithm for EV scheduling in smart grid through the uncertainties,” J. Ambient Intell. Humaniz. Comp., Vol. 11, no. 5, pp. 2071–103, 2020.
  • B. Esenboga and T. Demirdelen, “Efficiency and cost based multi-optimization and thermal/electromagnetic analyses of 3-phase dry-type transformer,” IETE J. Res., pp. 1–13, 2020.
  • P. R. Jenkins, B. J. Lunday, and M. J. Robbins, “Robust, multi-objective optimization for the military medical evacuation location-allocation problem,” Omega (Westport), Vol. 97, p. 102088, Dec. 2020.
  • A. Hebbal, L. Brevault, M. Balesdent, E. G. Talbi, and N. Melab, “Multi-objective optimization using deep Gaussian processes: Application to aerospace vehicle design,” in AIAA Scitech 2019 Forum, 2019, p. 1973.
  • C. Wu, J. Wang, X. Chen, P. Du, and W. Yang, “A novel hybrid system based on multi-objective optimization for wind speed forecasting,” Renew. Energy, Vol. 146, pp. 149–65, 2020.
  • W. Chien, C. C. Chiu, Y. T. Cheng, S. H. Liao, and H. S. Yen, “Multi-objective optimization for UWB antenna array by APSO algorithm,” Telecommun. Syst., Vol. 64, no. 4, pp. 649–60, Apr. 2017.
  • P. Palanisamy and M. Subramani, “Closely mounted UWB MIMO antenna with notch characteristics for short-range wireless video transmission application,” IETE J. Res., pp. 1–13, May 2020.
  • G. Singh, U. Singh, and R. Salgotra, “Effect of parametric enhancements on naked mole-rat algorithm for global optimization,” Eng. Comput., Vol. 37, pp. 1–29, 2021.
  • S. Koziel and A. Bekasiewicz, “Low-cost multi-objective optimization and experimental validation of UWB MIMO antenna,” Eng. Comput. (Swansea), Vol. 33, no. 4, pp. 1246–58, 2016.
  • P. Palanisamy and M. Subramani, “Design and experimental analysis of miniaturized octa-port UWB/SWB-MIMO antenna with triple-band rejection characteristics,” IETE J. Res., pp. 1–15, 2020.
  • Y. Du, X. Wu, J. Sidén, and G. Wang, “Design of ultra-wideband antenna with high-selectivity band notches using fragment-type etch pattern,” Microw. Opt. Technol. Lett., Vol. 62, no. 2, pp. 912–8, Feb. 2020.
  • V. K. R. Devana and A. M. Rao, “Design and analysis of dual band-notched UWB antenna using a slot in feed and asymmetrical parasitic stub,” IETE J. Res., pp. 1–11, Sep. 2020.
  • U. A. Dash and S. Sahu, “UWB Dual-Band notched conical dielectric resonator antenna with improved gain,” IETE J. Res., Vol. 66, no. 5, pp. 643–53, Sep. 2020.
  • A. Bhattacharya, B. Roy, S. K. Chowdhury, and A. K. Bhattacharjee, “An isolation enhanced, printed, low-profile UWB-MIMO antenna with unique dual band-notching features for WLAN and WIMAX,” IETE J. Res., pp. 1–8, May 2019.
  • G. Singh and U. Singh, “Dual band rejected low profile planar monopole antenna for UWB application,” in Int. Conf. on Automa., Computation and Tech. Management (ICACTM). IEEE, Apr. 2019, pp. 534–538.
  • G. Singh and U. Singh, “Analysis of triple band rejected compact planar octagon shape monopole antenna for UWB applications,” in Int. Symp. on Networks, Computers and Comm. (ISNCC). IEEE, 2020, pp. 1–6.
  • R. Salgotra and U. Singh, “The naked mole-rat algorithm,” Neural Comput. Appl., Vol. 31, no. 12, pp. 8837–57, 2019.
  • J. C. Bansal, P. K. Singh, M. Saraswat, A. Verma, S. S. Jadon, and A. Abraham, “Inertia weight strategies in particle swarm optimization,” in Third World Congress on Nature and Biologically Inspired Computing. IEEE, Oct. 2011, pp. 633–640.
  • H. J. Mohammed, A. S. Abdullah, R. S. Ali, R. A. Abd-Alhameed, Y. I. Abdulraheem, and J. M. Noras, “Design of a uniplanar printed triple band-rejected ultra-wideband antenna using particle swarm optimisation and the firefly algorithm,” IET Microwav. Ant. Propag., Vol. 10, no. 1, pp. 31–7, 2016.
  • M. C. Derbal, A. Zeghdoud, and M. Nedil, “A dual band notched UWB antenna with optimized DGS using genetic algorithm,” Prog. Electromagn. Res., Vol. 88, pp. 89–95, 2020.
  • S. Das, D. Mitra, and S. R. B. Chaudhuri, “Design of UWB planar monopole antennas with etched spiral slot on the patch for multiple band-notched characteristics,” Int. J. Microwav. Sci. Tech., Vol. 2015, p. 303215, 2015.
  • Y. L. Li, W. Shao, L. You, and B. Z. Wang, “An improved PSO algorithm and its application to UWB antenna design,” IEEE Ant. Wirel. Propag. Lett., Vol. 12, pp. 1236–9, 2013.

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.