Global optimization of an optical chaotic system by Chaotic Multi Swarm Particle Swarm Optimization

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 917-924

  Mukhopadhyay, Sumona ^a   Banerjee, Santo ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b POLITECNICO DI TORINO   (Italy)

Author keywords

Chaotic sequences; Computational intelligence; Global optimization; Laser; Multi dimension; Parameter estimation; Particle swarm optimization

Indexed keywords

CHAOTIC LASERS; CHAOTIC SEQUENCE; CONVERGENCE SPEEDUP; ESTIMATION AND OPTIMIZATION; MAXWELL-BLOCH EQUATION; MULTI DIMENSION; MULTI-SWARMS; NONLINEAR SCIENCE; NUMERICAL RESULTS; OPTIMIZED PARAMETER; PARETO OPTIMAL SOLUTIONS; PARTICLE SWARM; SMALL POPULATION; UNKNOWN PARAMETERS;

ARTIFICIAL INTELLIGENCE; CHAOTIC SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; ESTIMATION; GLOBAL OPTIMIZATION; LASERS; MAXWELL EQUATIONS; OBSERVABILITY; PARAMETER ESTIMATION; POPULATION STATISTICS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 81855164795     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.07.089     Document Type: Article

References (34)

1. A. Abraham Evolutionary computation S. Peter, T. Richard, Handbook for measurement Systems design 2005 John Wiley and Sons Ltd.; London 920 931 ISBN 0-470-02143-8
2. M.M. Ali, and P. Kaelo Improved particle swarm algorithms for global optimization Applied Mathematics and Computation 192 2 2008 578 593
3. S. Banerjee, P. Saha, and A.C. Roy Chaotic aspects of lasers with host-induced nonlinearity and its control Physics Letters A 291 2001 103114
4. R. Caponetto, L. Fortuna, S. Fazzino, and M.G. Xibilia Chaotic sequences to improve the performance of evolutionary algorithms IEEE Transactions on Evolutionary Computation 7 3 2003 289 304
5. L.S. Coelho, and V.C. Mariani Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization Expert Systems with Applications 34 2008 1905 1913
6. T. Cura Particle swarm optimization approach to portfolio optimization Nonlinear Analysis: Real World Applications 10 4 2009 2396 2406
7. L.N. de Castro, and J. Timmis Artificial immune systems: A new computational intelligence approach 2002 Springer 1852335947 57 58 9781852335946
8. M. Dorigo, V. Maniezzo, and A. Colorni The ant system: Optimization by a colony of cooperating agents IEEE Transactions on Systems, Man and Cybernetics 26 1 1996 2942
9. P.L. Ecuyer Combined multiple recursive random number generators Operations Research 44 5 1996 816822
10. S.-K.S. Fan, and J.-M. Chang Dynamic multi-swarm particle swarm optimizer using parallel PC cluster systems for global optimization of large-scale multimodal functions Engineering Optimization 42 5 2010 431 451
11. L.J. Fogel, A.J. Owens, and M.J. Walsh Artificial intelligence through simulated evolution 1966 John Wiley and Sons Inc. USA
12. P. Grassberger, and I. Procaccia Measuring the strangeness of strange attractors Physica D 9 1983 189 208
13. S. Haykin Neural networks: A comprehensive foundation 1999 Prentice Hall ISBN 0-13-273350-1
14. Q. He, L. Wang, and B. Liu estimation for chaotic systems by particle swarm optimization Chaos, Solitons and Fractals 34 2007 654661
15. J.H. Holland Adaptation in natural and artificial systems 1975 The University of Michigan Press Ann Arbor
16. Kennedy, J. & Eberthart, R.C. 1995. Particle swarm optimization. In Proceedings of IEEE international conference on neural networks, Piscataway (pp. 1942-1948).
17. J. Kennedy, R.C. Eberthart, and Y. Shi Swarm intelligence 2001 Morgan Kaufman San Francisco, CA
18. J.O. Kephart A biologically inspired immune system for computers Proceedings of artificial life IV: The fourth international workshop on the synthesis and simulation of living systems 1994 MIT Press 130 139
19. Kou, X.; Liu, S.; Zhang, J. & Zheng, W. (2009). Co-evolutionary particle swarm optimization to solve constrained optimization problems Computers & Mathematics with Applications. In Proceedings of the international conference, bio-inspired computing-theories and applications BIC-TA 2007, China (57 (11-12), pp. 1176-1784).
20. J.R. Koza Genetic programming: On the programming of computers by means of natural selection 1992 The MIT Press Cambridge, MA
21. Liang, J.J. & Suganthan, P.N.; 2005. Dynamic multi-swarm particle swarm optimizer. Swarm Intelligence Symposium, SIS 2005. Proceedings IEEE: 124 - 129.
22. H. Modares, A. Alfi, and M. Fateh Parameter identification of chaotic dynamic systems through an improved particle swarm optimization Expert Systems with Applications 37 5 2010 3714 3720
23. K.E. Parsopoulos, and M.N. Vrahatis Recent approaches to global optimization problems through Particle Swarm Optimization Natural Computing 1 2002 235 306
24. S.S. Rao Engineering optimization theory and practice 4th ed. 2009 Wiley
25. I. Rechenberg Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution 1973 Fromman-Holzboog Stuttgart
26. S.L. Sabat, L. Ali, and S.K. Udgata Integrated Learning Particle Swarm Optimizer for global optimization Applied Soft Computing 11 1 2011 574 584
27. H.P. Schwefel Numerische Optimierung von Computermodellen mittels der Evolutionsstrategie 1977 Birkhaeuser Basel
28. C.E. Shannon Communication theory of secrecy systems Bell System Technical Journal 28 1949 656 715
29. Shi,Y.H.; & Eberthart, R.C.; 1998. A modified particle swarm optimizer. In Proceedings IEEE International Conference on Evolutionary Computation (p. 6973).
30. Sun, J.; Zhao, J.; Wu, X.; Fang, W.; Cai, Y.; & Xu, W.; 2010. Parameter estimation for chaotic systems with a Drift Particle Swarm Optimization method. Physics Letters A.
31. Y. Tang, and X. Guan Parameter estimation for time-delay chaotic system by particle swarm optimization Chaos, Solitons and Fractals 40 2009 13911398
32. L. Wang, and L.P. Li An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems Expert Systems with Applications 37 2 2010 1279 1285
33. M. Wenbo Modern cryptography: Theory and practice 2004 Prentice Hall PTR, Copyright: Hewlett Packard
34. L.A. Zadeh Fuzzy sets Information and Control 8 3 1965 338 353