[1] | Passino, K. M.: Biomimicry of bacterial foraging for distributed optimization and control, IEEE control systems magazine, 52-67 (2002) |

[2] | Liu, Y.; Passino, K. M.: Biomimicry of social foraging bacteria for distributed optimization: models, principles, and emergent behaviors, Journal of optimization theory and applications 115, No. 3, 603-628 (2002) · Zbl 1031.92038 · doi:10.1023/A:1021207331209 |

[3] | Kim, D. H.; Abraham, A.; Cho, J. H.: A hybrid genetic algorithm and bacterial foraging approach for global optimization, Information sciences 177, No. 148, 3918-3937 (2007) |

[4] | Mishra, S.: A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation, IEEE transactions on evolutionary computation 9, No. 1, 61-73 (2005) |

[5] | M. Tripathy, S. Mishra, L.L. Lai, Q.P. Zhang, Transmission loss reduction based on FACTS and bacteria foraging algorithm, PPSN, 2006, pp. 222–231. |

[6] | D.H. Kim, C.H. Cho, Bacterial foraging based neural network fuzzy learning, IICAI 2005, pp. 2030–2036. |

[7] | Mishra, S.; Bhende, C. N.: Bacterial foraging technique-based optimized active power filter for load compensation, IEEE transactions on power delivery 22, No. 1, 457-465 (2007) |

[8] | Tripathy, M.; Mishra, S.: Bacteria foraging-based to optimize both real power loss and voltage stability limit, IEEE transactions on power systems 22, No. 1, 240-248 (2007) |

[9] | Bonabeau, E.; Dorigo, M.; Theraulaz, G.: Swarm intelligence: from natural to artificial systems, (1999) · Zbl 1003.68123 |

[10] | Kennedy, J.; Eberhart, R.; Shi, Y.: Swarm intelligence, (2001) |

[11] | J Kennedy, R. Eberhart, Particle swarm optimization. in: Proc. IEEE Int. Conf. Neural Networks., 1995, pp. 1942–1948. |

[12] | Dorigo, M.; Stiizle, T.: Ant colony optimization, (2004) |

[13] | Back, T.; Fogel, D. B.; Michalewicz, Z.: Handbook of evolutionary computation, (1997) |

[14] | Abraham, A.; Biswas, A.; Dasgupta, S.; Das, S.: Analysis of reproduction operator in bacterial foraging optimization, IEEE world congress on computational intelligence, WCCI 2008 (2008) |

[15] | Tang, W. J.; Wu, Q. H.; Saunders, J. R.: A novel model for bacteria foraging in varying environments, ICCSA 2006, Lecture notes in computer science 3980, 556-565 (2006) · Zbl 1162.92335 · doi:10.1007/11751540_59 |

[16] | Li, M. S.; Tang, W. J.; Tang, W. H.; Wu, Q. H.; Saunders, J. R.: Bacteria foraging algorithm with varying population for optimal power flow, Lecture notes in computer science 4448, 32-41 (2007) |

[17] | Biswas, A.; Dasgupta, S.; Das, S.; Abraham, A.: Synergy of PSO and bacterial foraging optimization: a comparative study on numerical benchmarks, Advances in soft computing series 44, 255-263 (2007) |

[18] | Dasgupta, S.; Das, S.; Abraham, A.; Biswas, A.: Adaptive computational chemotaxis in bacterial foraging optimization: an analysis, IEEE transactions on evolutionary computing 13, No. 4, 919-941 (2009) |

[19] | Ulagammai, L.; Vankatesh, P.; Kannan, P. S.; Padhy, Narayana Prasad: Application of bacteria foraging technique trained and artificial and wavelet neural networks in load forecasting, Neurocomputing, 2659-2667 (2007) |

[20] | Mario A. Munoz, Jesus A. Lopez, E. Caicedo, Bacteria foraging optimization for dynamical resource allocation in a multizone temperature experimentation platform, in: Anal. and Des. of Intel. Sys. using SC Tech, ASC 41, 2007, pp. 427–435. |

[21] | Acharya, D. P.; Panda, G.; Mishra, S.; Lakhshmi, Y. V. S.: Bacteria foaging based independent component analysis, International conference on computational intelligence and multimedia applications (2007) |

[22] | A. Chatterjee, F. Matsuno, Bacteria Foraging Techniques for Solving EKF-Based SLAM Problems. |

[23] | Anwal, R. P.: Generalized functions: theory and technique, (1998) |

[24] | Widder, D. V.: Advanced calculus, (1990) |

[25] | Murray, J. D.: Mathematical biology, (1989) |

[26] | Biswas, Arijit; Das, Swagatam; Abraham, Ajith; Dasgupta, Sambarta: Analysis of the reproduction operator in an artificial bacterial foraging system, Applied maths and computation 215, No. 9, 3343-3355 (2010) · Zbl 1180.92011 · doi:10.1016/j.amc.2009.10.023 |

[27] | Okubo, A.: Dynamical aspects of animal grouping: swarms, schools, flocks, and herds, Advanced biophysics 22, 1-94 (1986) |

[28] | M. Gopal, Digital Control and State Variable Methods, 2nd ed., Tata-McGraw-Hill. |

[29] | Das, Swagatam; Dasgupta, Sambarta; Biswas, Arijit; Abraham, Ajith; Konar, Amit: On stability of the chemotactic dynamics in bacterial foraging optimization algorithm, IEEE transactions on systems man and cybernetics – part A 39, No. 3, 670-679 (2009) |

[30] | Biswas, Arijit; Dasgupta, Sambarta; Das, Swagatam; Abraham, Ajith: A synergy of differential evolution and bacterial foraging algorithm for global optimization, Neural network world 17, No. 6, 607-626 (2007) |

[31] | Das, Swagatam; Biswas, Arijit; Dasgupta, Sambarta; Abraham, Ajith: Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications, Studies in computational intelligence, 23-55 (2009) |

[32] | Kim, Dong-Hwa; Abraham, Ajith; Hirota, Kaoru: Hybrid genetic algorithm and bacterial foraging approach for function optimization and robust tuning of PID controller with disturbance rejection, Studies in computational intelligence 75, 171-199 (2007) |

[33] | Dasgupta, Sambarta; Biswas, Arijit; Das, Swagatam; Panigrahi, Bijaya Ketan; Abraham, Ajith: A micro-bacterial foraging algorithm for high-dimensional optimization, , 785-792 (2009) |

[34] | Das, Swagatam; Chowdhury, Archana; Abraham, Ajith: A bacterial evolutionary algorithm for automatic data clustering, , 2403-2410 (2009) |

[35] | Das, Swagatam; Dasgupta, Sambarta; Biswas, Arijit; Abraham, Ajith; Konar, Amit: On stability of the chemotactic dynamics in bacterial foraging optimization algorithm, , 245-251 (2008) |