MODIFICATIONS OF THE PARTICLE SWARM OPTIMIZATION AND NEW PROPOSED VARIANT

Bansal J.C. & Singh P.K. & Saraswat M. & Verma A. & Jadon S.S & Abraham A. Inertia weight strategies in particle swarm optimization, Third World Congress on Nature and Biologically Inspired Computation, Salamaca, pp 640– 647, 2011.

Bergh F.V.D. An analysis of particle swarm optimizers, PhD thesis, University of Pretoria, 2001.

Bergh F.V.D. & Engelbrecht A.P. A cooperative approach to particle swarm optimization, IEEE Transition on Evolutionary Computation, 8(3), pp 225–239, 2004.

Blum C. & Merkle D. Swarm intelligence: Introduction and application, Springer, 2008.

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

Feng Y. & Teng G.F. & Wang A.X. & Yao Y.M. Chaotic inertia weight in particle swarm optimization, Second International Conference on Innovative Computing, Information and Control, Kumamoto, pp 475, 2007.

Fukuyama Y. & Yoshida H. A particle swarm optimization for reactive power and voltage control in electric power systems, Proceedings of the 2001 Congress on Evolutionary Computation, Seoul, pp 87–93, 2001.

Gimmler J. & Stützle T. & Exner T.E. Hybrid particle swarm optimization: and examination of the influence of iterative improvement algorithms on performance, Proceedings of the 5ht International Conference on Ant Colony Optimization and Swarm Intelligence, Berlin, Heidelberg, pp 436–443, 2006.

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

Kennedy J. & Eberhart R. A discrete binary version of the particle swarm alg orithm, Proceedings of the Conference on Systems, Man and Cybernetics, Orlando, FL, pp 4104–4109, 1997.

Nickabadi A. & Ebadzadeh M.M & Safabakhsh R. A novel particle swarm optimi zation algorithm with adaptive inertia weight, Applied Soft Computing, 11(4), pp 3658–3670, 2011.

Shi Y. & Eberhart R. A modified particle swarm optimizer, IEEE International C onference on Evolutionary Computation, Anchorage, UK, pp 69–73, 1998.

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

Weise T . Global optimization algorithms - theory and application, online: http://www.it-weise.de/projects/book.pdf, Accessed 20. 8. 2012, 2009.

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.

Bansal J.C. & Singh P.K. & Saraswat M. & Verma A. & Jadon S.S & Abraham A. Inertia weight strategies in particle swarm optimization, Third World Congress on Nature and Biologically Inspired Computation, Salamaca, pp 640– 647, 2011.

Bergh F.V.D. An analysis of particle swarm optimizers, PhD thesis, University of Pretoria, 2001.

Bergh F.V.D. & Engelbrecht A.P. A cooperative approach to particle swarm optimization, IEEE Transition on Evolutionary Computation, 8(3), pp 225–239, 2004.

Blum C. & Merkle D. Swarm intelligence: Introduction and application, Springer, 2008.

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

Feng Y. & Teng G.F. & Wang A.X. & Yao Y.M. Chaotic inertia weight in particle swarm optimization, Second International Conference on Innovative Computing, Information and Control, Kumamoto, pp 475, 2007.

Fukuyama Y. & Yoshida H. A particle swarm optimization for reactive power and voltage control in electric power systems, Proceedings of the 2001 Congress on Evolutionary Computation, Seoul, pp 87–93, 2001.

Gimmler J. & Stützle T. & Exner T.E. Hybrid particle swarm optimization: and examination of the influence of iterative improvement algorithms on performance, Proceedings of the 5ht International Conference on Ant Colony Optimization and Swarm Intelligence, Berlin, Heidelberg, pp 436–443, 2006.

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

Kennedy J. & Eberhart R. A discrete binary version of the particle swarm alg orithm, Proceedings of the Conference on Systems, Man and Cybernetics, Orlando, FL, pp 4104–4109, 1997.

Nickabadi A. & Ebadzadeh M.M & Safabakhsh R. A novel particle swarm optimi zation algorithm with adaptive inertia weight, Applied Soft Computing, 11(4), pp 3658–3670, 2011.

Shi Y. & Eberhart R. A modified particle swarm optimizer, IEEE International C onference on Evolutionary Computation, Anchorage, UK, pp 69–73, 1998.

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

Weise T . Global optimization algorithms - theory and application, online: http://www.it-weise.de/projects/book.pdf, Accessed 20. 8. 2012, 2009.

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.