Mohammad Tarek Al Muallim, Rand El-Kouatly, and Farouk Drayee


  1. [1] A.K. Abbas and A.H. Lichtman, Basic immunulogy (Philadel-phia: Saunders Elsevier, 2009).
  2. [2] R. Goldsby, T. Kindt, J. Kuby, and B. Osborne, Kubyimmunology, 5th ed. (Oxford: WH Freeman, 2003).
  3. [3] D. Dasgupta and L.F. Ni˜no, Immunological computation theoryand applications (Boca Raton: Auerbach Publications, Taylor& Francis Group, 2009).
  4. [4] H. Mo, Handbook of research on artificial immune systemsand natural computing: applying complex adaptive technologies(New York: Medical Information Science Reference, 2009).
  5. [5] S. Liu, Y. Liu, Y. Tang, and R. Jiang, A novel pattern recogni-tion approach based on immunology, Information TechnologyJournal, 11(1), 2012, 134–140.
  6. [6] M.T. Al-Muallim and R. El-Kouatly, Unsupervised classifica-tion using immune algorithm, International Journal of Com-puter Applications, 2(7), 2010, 44–48.
  7. [7] H. Gao and X. Liu, Improved artificial immune algorithmand its application on the permutation flow shop sequenc-ing problems, Information Technology Journal, 6(6), 2007,929–933.
  8. [8] X.-Y. Gao, L.-Q. Sun, and D.-S. Sun, Artificial immune-chaoshybrid algorithm for geometric constraint solving, InformationTechnology Journal, 8(3), 2009, 360–365.
  9. [9] D.F.W. Yap, S.P. Koh, S.K. Tiong, and S.K. Prajindra, Particleswarm based artificial immune system for multimodal functionoptimization and engineering application problem, Trends inApplied Sciences Research, 6(3), 2011, 282–293.
  10. [10] S.H. Cheheltani and S.M. Ebadzadeh, Immune based approachto find mixed Nash equilibrium in normal form game, Journalof Applied Sciences, 10(6), 2010, 487–493.
  11. [11] M. Gunasekaran and K.S. Ramaswami, A fusion model inte-grating ANFIS and artificial immune algorithm for forecastingIndian stock market, Journal of Applied Sciences, 11(6), 2011,3028–3033.
  12. [12] K.M. Passino, Intelligent control: an overview of techniques, inT. Samad (ed.) Perspectives in control engineering technologies,applications, and new directions (New York: Wiley-IEEEPress, 2001), 104–133.
  13. [13] N.S. Bhuvaneswari, G. Uma, and T.R. Rangaswamy, Neuralnetwork with dynamic programming for time-optimal controlof conical tank level, Control and Intelligent Systems, 37(4),2009, 187–194.
  14. [14] M. Boufounas, J.E. Boumhidi, N. Farhane, and I. Boumhidi,Neural network sliding mode controller for a variable speedwind turbine, Control and Intelligent Systems, 41(1), 2013,17–25.
  15. [15] M. Chemachema, Transient chattering SMC-based adaptiveneural network control for SISO nonlinear systems, Controland Intelligent Systems, 38(2), 2010, 77–84.
  16. [16] D.H. Kim, Tuning of a PID controller using immune networkmodel and fuzzy set, IEEE Int. Symp. on Industrial Electronics,Pusan, Korea 2001, 1656–1661.
  17. [17] D.H. Kim, Tuning of 2-DOF PID controller by immunealgorithm, Proc. 2002 Congress on Evolutionary Computation,Honolulu, Hawaii, 2002, 675–680.
  18. [18] D.H. Kim, Tuning of PID controller for dead time process usingimmune based multiobjective, IEEE Mid-Summer Workshopon Soft Computing in Industrial Applications, Espoo, Finland,2005, 63–68.
  19. [19] D.H. Kim, Tuning of PID controller using gain/phase marginand immune algorithm, IEEE Mid-Summer Workshop on SoftComputing in Industrial Applications, Espoo, Finland, 2005,69–74.
  20. [20] D.H. Kim and J.H. Cho, Design of robust PID controllerwith disturbance rejection for motor using immune algorithm,Fourth International Conference on Hybrid Intelligent Systems,Kitakyushu, Japan, 2004, 444–449.236
  21. [21] D. Dukun, X. Cunxi, and H. Xuanzi, Immune controller designfor vertical-joint industry robot, International Conference onComputational Intelligence and Security, Beijing, China, 2009,36–40.
  22. [22] X. QuanZuo and S. YongLi, The chaos artificial immunealgorithm and its application to RBF neuro-fuzzy controllerdesign, IEEE International Conference on Systems, Man andCybernetics, Washington, DC, 2003, 2809–2814.
  23. [23] W. Tian, L.A.Y. Geng, and J.-C. Liu, Immune clone selectionalgorithm for fuzzy logic controller design, Control and DecisionConference, Shanghai, China, 2009, 6144–6148.
  24. [24] Dong-Meifu and D.-L. Zheng, Designing and analysis of a im-mune controller based on the improvement Varela immune net-work model, Int. Conf. on Machine Learning and Cybernetics,2005.
  25. [25] D. Fu, et al., Design of a class of p-type immune controllersbased on T-B cell and its stability analysis, Int. Conf. onMachine Learning and Cybernetics, Hong Kong, China, 2007,459–464.
  26. [26] H. Mo and L. Xu, A kind of improved immune controller, Int.Conf. on Mechatronics and Automation, Changchun, China,2009, 448–453.
  27. [27] D. Peng, H. Zhang, P. Yang, and H. Li, A novel immunefeedback controller and its applications for main steam temper-ature system, IEEE Int. Conf. on Automation and Logistics,Jinan, China, 2007, 1625–1629.
  28. [28] W. Chen, J. Zhou, and H. Wei, Compensatory controller basedon artificial immune system, IEEE Int. Conf. on Mechatronicsand Automation, Luoyang, China, 2006, 1608–1613.
  29. [29] Y. Ding, A nonlinear PID controller based on fuzzy-tunedimmune feedback law, Proc. 3rd World Congress on IntelligentControl and Automation, Hefei, China, 2000, 1576–1580.
  30. [30] Y. Ding and L. Ren, Fuzzy self-tuning immune feedbackcontroller for tissue hyperthermia, The Ninth IEEE Int. Conf.on Fuzzy Systems, San Antonio, Texas, 2000, 534–538.
  31. [31] A.H. Jinying, B.M. Bo, and C.W. Haojing, Design of vehiclespeed controller based on immune feed-back, IEEE Interna-tional Conference on Fuzzy Systems, Jeju Island, Korea, 2009,1033–1037.
  32. [32] D. Liu, C. Xia, M. Zhang, and Y. Wang, Control of brushless DCmotor using fuzzy set based immune feedback PID controller,IEEE International Symposium on Industrial Electronics, Vigo,Spain, 2007, 1045–1049.
  33. [33] Z.-Q. Qi, G.-D. Hu, Z.-H. Yang, and F.-E. Zhang, A novelcontrol algorithm based on immune feedback principle, Int.Conf. on Machine Learning and Cybernetics, Beijing, China,2002, 1089–1092.
  34. [34] W. Wang, X.Z. Gao, and C. Wang, A new immune PID con-troller in material-level control, Third International Confer-ence on Natural Computation, Haikou, Hainan, China, 2007,614–618.
  35. [35] J.E. Normey-Rico and E.F. Camacho, Control of dead-timeprocesses (London: Springer, 2007).
  36. [36] J.G. Ziegler and N.B. Nichols, Optimum setting for automaticcontrollers, ASME Transactions, 64, 1942, 759–768.

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