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A Bacterial Foraging Optimized Finite Difference Time Domain Method

Published on May 2012 by Vipul Sharma, S. S. Pattnaik, Tanuj Garg
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National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
Foundation of Computer Science USA
NCFAAIIA - Number 1
May 2012
Authors: Vipul Sharma, S. S. Pattnaik, Tanuj Garg
062662d8-5a13-42f2-ac6c-ed6a51574fc9

Vipul Sharma, S. S. Pattnaik, Tanuj Garg . A Bacterial Foraging Optimized Finite Difference Time Domain Method. National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012. NCFAAIIA, 1 (May 2012), 1-4.

@article{
author = { Vipul Sharma, S. S. Pattnaik, Tanuj Garg },
title = { A Bacterial Foraging Optimized Finite Difference Time Domain Method },
journal = { National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012 },
issue_date = { May 2012 },
volume = { NCFAAIIA },
number = { 1 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncfaaiia/number1/6722-1001/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%A Vipul Sharma
%A S. S. Pattnaik
%A Tanuj Garg
%T A Bacterial Foraging Optimized Finite Difference Time Domain Method
%J National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%@ 0975-8887
%V NCFAAIIA
%N 1
%P 1-4
%D 2012
%I International Journal of Computer Applications
Abstract

Bacterial foraging optimization algorithm (BFOA) has attracted a lot of attention as a high performance optimizer because of its faster convergence and global search approach. Since its inception, BFOA has been applied successfully to wide variety various applications leading to faster convergence with higher accuracy. This paper presents one such application of the algorithm i. e. optimization of finite difference time domain method (FDTD). The hybrid algorithm has been applied for simulation of rectangular cavity resonator. The results show excellent performance

References
  1. Passino K. M. , "Biomimicry of Bacterial Foraging", IEEE Control System Magzine, Vol. 22, 2002, pp. 52-67.
  2. W. Korani, " Bacterial Foraging Oriented By Particle Swarm Optimization Strategy for PID Tuning", GECOO 2008, 12-16 July, 2008, Atlanta, USA, pp. 1823-1826.
  3. K. M. Bakwad, S. S. Pattnaik, B. S. Sohi, S. Devi, B. K. Panigrahi, G. S. V. R. Sastri, "Bacterial Foraging Optimization Technique Cascaded with Adaptive Filter to Enhance Peak Signal to Noise Ratio from Single Image", IETE Journal of Research, Vol 55 (4), Jul-Aug 2009.
  4. W. Liu, H. Chen, H. Chen and M. Chen, "RFID Network Scheduling Using an Adaptive Bacteria Foraging Algorithm", Journal of Computer Information Systems (JCIS), Vol. 7(4), 2011, pp. 1238-1245.
  5. Y. Zhang, L. Wu and S. Wang, "Bacterial Foraging Optimization Based Neural Network for Short term Load Forecasting", JCIS, Vol. 6(7), 2010, pp. 2099-2105.
  6. B. B. Mangraj, I. S. Misra and A. K. Barisal, "Optimizing Included Angle of symmetrical V-Dipoles for Higher Directivity Using Bacteria Foraging Optimization Algorithm", PIER B, Vol. 3, 2008, pp. , 295-314
  7. G. S. V. R. Sastri, S. S. Pattnaik, O. P. Bajpai, S. Devi, C. V. Sagar, P. K. Patra and K. M. Bakwad, "Bacterial Foraging Optimization Technique to Calculate Resonant Frequency of Rectangular Microstrip Antenna", Int. J. RF Microwave Computer Aided Eng. , Vol. 18, 2008, pp. , 383-388.
  8. G. S. V. R. Sastri, S. S. Pattnaik, O. P. Bajpai, S. Devi, K. M. Bakwad, "Velocity Modulated Bacterial Foraging Optimization Technique (VMBFO)", Applied Soft Computing Journal, Vol. 11 (1), January 2011, pp. 154-165.
  9. G. S. V. R. Sastri, S. S. Pattnaik, O. P. Bajpai, S. Devi, K. M. Bakwad and P. K. Patra "Intelligent Bacterial Foraging Optimization Technique to Calculate Resonant Frequency of RMA", IJMOT, Vol 4(2), March 2009, pp. 67-75.
  10. A. Biswas, S. Dasgupta, S. Das and A. Abraham, " Synergy of PSO and BFO-A Comparative Study on Numerical Benchmarks", International Symposium on Hybrid Artificial Intelligent Systems (HAIS), November, 2007, Salamanca, Spain, pp. 255-263.
  11. Hanning Chen, Yunlong Zu, and Kunyuan Hu, "Adaptive Bacterial Foraging Optimization", Abstracts and Applied Analysis, Vol. 2011, 2011, pp. 1-27.
  12. K. R. Mahmoud, "Design Optimization of A Bow-Tie Antenna For 2. 45 GHz RFID Readers Using A Hybrid BSO-NM Algorithm", PIER 100, 2010, pp. 105-117
  13. T Datta, I. S. Misra, B. B. Mangraj, S. Imtiaj, "Improved Adaptive Bacteria Foraging Algorithm in Optimization of Antenna Array for Faster Convergence", PIER C, Vol. 1, 2008, pp. 143-157.
  14. M. O'Halloran, R. Coceicao, D. Byrne, M. Glavin and E. Jones, "FDTD Modeling Of The Breast: A Review", PIER B, Vol. 18, 2009, 1-24.
  15. S. C. Hagness, A. Taflove and J. E. Bridges, "Two Dimensional FDTD Analysis of a Pulsed Microwave Confocal System for Breast Cancer Detection: Fixed Focus and Antenna Array Sensors", IEEE Trans. Biomed. Eng. Vol. 45, 1998, pp. 1470-1479.
  16. E. C. Fear, X. Li, S. C. Hagness and M. A. Stuchly, "Confocal Microwave Imaging for Breast Cancer Detection : Localization of Tumors in three dimensions", IEEE Trans. Biomed. Eng. Vol. 47, 2002, pp. 812-822.
  17. E. C. Fear, S. C. Hagness, P. M. Meaney and M. A. Stuchly, "Breast Cancer Detection with Near-Field Imaging", IEEE Microwave Magazine, March 2002, pp. 48-56.
  18. X. Li and S. C. Hagness, "A Confocal Microwave Imaging Algorithm for Breast Cancer Detection", IEEE Microwave and Wireless Components Letters, Vol. 11, 2001, 130-132.
  19. Pratik Mehta, Kundan Chand, D. Narayanswamy, D. G. Beetner, R. Zoughi and W. V. Stoecker, "Microwave Reflectrometry as a Novel Diagnostic Tool for Detection of Skin Cancers", IEEE Trans. Inst. Meas. , Vol. 55(4), August 2006, pp. 1309-1316.
  20. D. M. Hagl, D. Popovic, S. C. Hagness, J. H. Booske and Michal Okoniewski, "Sensing Volume of Open-Ended Coaxial Probes for Dielectric Characterization of Breast Tissue at Microwave Frequencies", IEEE Trans. Microwave Theory Tech. , Vol. 51(4), 2003, pp. 1194-1206.
  21. Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  22. Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  23. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  24. Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398. , University of Washington.
  25. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  26. Brown, L. D. , Hua, H. , and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  27. Y. T. Yu, M. F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
  28. Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender
Index Terms

Computer Science
Information Sciences

Keywords

Optimization Tools Germ Intelligence Fdtd Cad