HOW CONSTRAINED SPACE AFFECTS THE RESULTS IN THE PARTICLE SWARM OPTIMIZATION

Clerc M. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization, Proceedings of the 1990 Congress on Evolutionary Computation, Washington, DC, pp 1951-1957, 1999.

Clerc M. & Kennedy J . The particle swarm – explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, vol. 6, pp 58-73, 2002.

Deng W. & Chen R. & He B. & Liu Y. & Yin L. & Guo J. A novel two-stage hybrid swarm intelligence optimization algorit hm and application, Soft Comput., vol. 16/issue 10, pp 1707-1722, 2012. GeoConference on Informatics, Geoinformatics and Remote Sensing

Duan Q. Y. & Gupta V. K. & Sorooshian S. Shuffled complex evolution approach for effective and efficient global minimization, Journal of Optimization Theory and Applications, vol. 76, no. 3, pp 501-521, 1993.

Eberhart R. & Shi Y. Computational Intelligence: Concepts to Implementations, Morgan Kaufmann, pp 496, 2007.

Kennedy J. & Eberhart R. Particle swarm optimization, Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, WA, pp 1942-1948, 1995.

Mariani V. C. & Guilherme L. & Luvizotto J. & Guerra F. A. & Coelho L. d. S. A hybrid shuffled complex evolution appro ach based on differential evolution for unconstrained optimization, Applied mathematics and computation, vol. 217, no. 12, pp. 5822-5829, 2011.

Nickabadi A. & Ebadzadeh M. M. & Safabakhsh R. A novel particle swarm optimization algorithm with adaptive inertia weight, Applied Soft Computing, vol. 11 , pp 3658-3670, 2011.

Shi Y. & Eberhart R. Empirical study of particle swarm optimization, Proceedings of the 1999 Congress on Evolutionary Computation, Washington, DC, pp 1945 -1950, 1999.

Suganthan P. N. & Hansen N. & Liang J. J. & Deb K. & Chen Y.-P. & Auger A. & Tiwari S. Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization, online: http://www.lri.fr/~hansen/Tech-Report-May-30- 05.pdf, accessed: 17. 9. 2012.

Team R.D.C. R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2008.

Yan J. & Tiesong H. & Chongchao H. & Xianing W. & Faling G. A shuffled complex evolution of particle swarm optimization algorithm, Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I, ICANNGA '07, Springer-Verlag, Berlin, Heidelberg, pp. 341-349, 2007.

Clerc M. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization, Proceedings of the 1990 Congress on Evolutionary Computation, Washington, DC, pp 1951-1957, 1999.

Clerc M. & Kennedy J . The particle swarm – explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, vol. 6, pp 58-73, 2002.

Deng W. & Chen R. & He B. & Liu Y. & Yin L. & Guo J. A novel two-stage hybrid swarm intelligence optimization algorit hm and application, Soft Comput., vol. 16/issue 10, pp 1707-1722, 2012. GeoConference on Informatics, Geoinformatics and Remote Sensing

Duan Q. Y. & Gupta V. K. & Sorooshian S. Shuffled complex evolution approach for effective and efficient global minimization, Journal of Optimization Theory and Applications, vol. 76, no. 3, pp 501-521, 1993.

Eberhart R. & Shi Y. Computational Intelligence: Concepts to Implementations, Morgan Kaufmann, pp 496, 2007.

Kennedy J. & Eberhart R. Particle swarm optimization, Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, WA, pp 1942-1948, 1995.

Mariani V. C. & Guilherme L. & Luvizotto J. & Guerra F. A. & Coelho L. d. S. A hybrid shuffled complex evolution appro ach based on differential evolution for unconstrained optimization, Applied mathematics and computation, vol. 217, no. 12, pp. 5822-5829, 2011.

Nickabadi A. & Ebadzadeh M. M. & Safabakhsh R. A novel particle swarm optimization algorithm with adaptive inertia weight, Applied Soft Computing, vol. 11 , pp 3658-3670, 2011.

Shi Y. & Eberhart R. Empirical study of particle swarm optimization, Proceedings of the 1999 Congress on Evolutionary Computation, Washington, DC, pp 1945 -1950, 1999.

Suganthan P. N. & Hansen N. & Liang J. J. & Deb K. & Chen Y.-P. & Auger A. & Tiwari S. Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization, online: http://www.lri.fr/~hansen/Tech-Report-May-30- 05.pdf, accessed: 17. 9. 2012.

Team R.D.C. R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2008.

Yan J. & Tiesong H. & Chongchao H. & Xianing W. & Faling G. A shuffled complex evolution of particle swarm optimization algorithm, Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I, ICANNGA '07, Springer-Verlag, Berlin, Heidelberg, pp. 341-349, 2007.