Spiral bacterial foraging optimization method

Proceedings of the 2010 American Control Conference, ACC 2010

Volumn , Issue , 2010, Pages 4845-4850

  Kasaiezadeh, Alireza ^a   Khajepour, Amir ^a   Waslander, Steven L ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMIMETICS; MULTI AGENT SYSTEMS; STOCHASTIC SYSTEMS;

BACTERIAL FORAGING OPTIMIZATION; BIOLOGICALLY INSPIRED ALGORITHMS; GRADIENT BASED ALGORITHM; GRADIENT-BASED METHOD; LARGE SCALE COMPUTATION; OBJECTIVE FUNCTIONS; OPTIMIZATION METHOD; PRE-MATURE CONVERGENCES;

OPTIMIZATION;

EID: 77957791640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2010.5530897     Document Type: Conference Paper

References (26)

1. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
2. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Boston, MA: Kluwer, 1989.
3. L. J. Fogel, A. J. Owens, and M. J. Walsh, Artificial Intelligence through Simulated Evolution. Hoboken, NJ: Wiley, 1966.
4. J. Kennedy, R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., 1995, pp. 1942-1948.
5. M. Dorigo and L. M. Gambardella, "Ant colony system: A cooperative learning approach to the traveling salesman problem," IEEE Trans. Evol. Comput., vol. 1, no. 1, pp. 53-66, Apr. 1997.
6. M. P. Song and G. C. Gu, "Research on Particle Swarm Optimization: A Review," Proceedings of the 3rd International Conference on Machine Learning and Cybernetics, Shanghai, Chaina, 26-29 August 2004, pp. 2236-2241.
7. Angeline, P.J., "Evolutionary optimization versus particle swarm optimization: philosophy and performance difference," In Proc. 7th Annu. Conf. on Evolutionary Programming, San Diego, . California USA, 1998, pp. 601-610.
8. B. Niu, Y.L. Zhu, X.X. He, X.P. Zeng, An improved particle swarm optimization based on bacterial chemotaxis, in: Proceeding of the Sixth World Congress on Intelligent Control and Automation, 2006, pp. 3193-3197.
9. Parsopouls, K.E., Plagianakos, V.P., Magoulas, G.D. and Vrahatis, M.N., "Stretching technique for obtaining global minimizers through particle swarm optimization," In Proc. Workshop on Particle Swarm Optimization, Indianapolis USA, 2001, pp. 22-29.
10. Silva, A., Neves, A. and Costa, E., "SAPPO: A simple, adaptable, predator prey optimizer," Lecture Notes in Artificial Intelligence, vol. 2909, pp.59-73, 2003.
11. H. J. Bremermann, "Chemotaxis and optimization," J. Franklin Inst., vol. 297, pp. 397-404, 1974.
12. H. J. Bremermann and R. W. Anderson, "How the brain adjusts synapsesmaybe," in Automated Reasoning: Essays in Honor of Woody Bledsoe, R. S. Boyer, Ed. Norwell, MA: Kluwer, 1991, pp. 119-147.
13. R.W. Anderson, "Biased random-walk learning: A neurobiological correlate to trial-and-error," in Neural Networks and Pattern Recognition, O. M. Omidvar and J. Dayhoff, Eds. New York: Academic, 1998, pp. 221-244.
14. S. D. Müller, J. Marchetto, S. Airaghi, and P.Koumoutsakos, "Optimization based on bacterial chemotaxis," IEEE Trans. Evol. Comput., vol. 6, pp. 16-29, Feb. 2002.
15. K.M. Passino, "Biomimicry of bacterial foraging for distributed optimization and control," IEEE Control Syst. Mag., vol. 22, no. 3, pp. 52-67, Jun. 2002.
16. Y. Liu and K. M. Passino, "Biomimicry of social foraging bacteria for distributed optimization: Models, principles, and emergent behaviors," J. Optim. Theory Appl., vol. 115, no. 3, pp. 603-628, Dec. 2002.
17. S. Das, A., Abraham, A. Konar, "On Stability of the Chemotactic Dynamics in Bacterial-Foraging Optimization Algorithm", IEEE Transanctions on Systems, Man, and Cybernetics Part A: Systems and Humans, VOL. 39, NO. 3, May 2009.
18. A., Biswas, S., Dasgupta, S., Das, and A., Abraham, "A Synergy of Differential Evolution and Bacterial Foraging Algorithm for Global Optimization", Neural Network World, Volume 17, No. 6, pp.607-626, 2007. (Pubitemid 351237999)
19. A., Biswas, S., Dasgupta, S., Das, A., Abraham, "Synergy of PSO and Bacterial Foraging Optimization: A Comparative Study on Numerical Benchmarks", Second International Symposium on Hybrid Artificial Intelligent Systems (HAIS 2007), Advances in Soft computing Series, Springer Verlag, Germany, Corchado, E. et al. (Eds.): Innovations in Hybrid Intelligent Systems, ASC 44, 2007, pp. 255-263.
20. A. Abraham, A. Biswas, and S. Dasgupta et al. "Analysis of reproduction operator in bacterial foraging optimization algorithm". In CEC 2008: IEEE World Congress on Computational Intelligence, pages 1476-1483, Hong Kong, June, 2008. IEEE Press.
21. H., Chen, Y., Zhu, K., Hu, X., He, B., Niu, "Cooperative Approaches to Bacterial Foraging Optimization", In: ICIC (2), pp. 541-548 (2008).
22. H., Shen, Y., Zhu, X., Zhou, H., Guo, C., Chang, "Bacterial Foraging Optimization Algorithm with Particle Swarm Optimization Strategy for Global Numerical Optimization", Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, Pages 497-504, 2009.
23. http://en.wikipedia.org/wiki/Dictyostelid.
24. C.J. Tomlin, J.D. Axelrod, "Biology by numbers: mathematical modeling in developmental biology". Nature Rev Genet 8:331-340, 2007.
25. P., Venkataraman, "Applied Optimization with Matlab Programming" Wiley, 2009.
26. S.S. Rao, Engineering Optimization: Theory and Practice., John wiley & Sons, New York, 1996.