An Adaptive Velocity Particle Swarm Optimization for high-dimensional function optimization

2013 IEEE Congress on Evolutionary Computation, CEC 2013

Volumn , Issue , 2013, Pages 2352-2359

  Martins, Arasomwan Akugbe ^a   Oluyinka, Adewumi Aderemi ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

adaptive; global optimization; high dimension; optimization problems; particle swarm optimization; velocity updating

Indexed keywords

ADAPTIVE; CHAOTIC CHARACTERISTICS; GLOBAL OPTIMIZATION PROBLEMS; HIGH DIMENSIONS; HIGH-DIMENSIONAL OPTIMIZATION; HIGH-DIMENSIONAL PROBLEMS; OPTIMIZATION PROBLEMS; REAL-WORLD OPTIMIZATION;

GLOBAL OPTIMIZATION; VELOCITY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84881584892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557850     Document Type: Conference Paper

References (24)

1. R. Akbari, and K. Ziarati, A rank based particle swarm optimization algorithm with dynamic adaptation . Journal of Computational and Applied Mathematics, Elsevier, vol. 235, pp. 2694-2714, 2011.
2. A. Alfi, PSO with adaptive mutation and inertia weight and its application in parameter estimation of dynamic systems . ACTA, Automatic Sinica, vol. 37, no. 5, pp. 541-549, May 2011.
3. G. Chen, X. Huang, J. Jia, and Z. Min., "Natural exponential inertia weight strategy in particle swarm optimization , The Sixth World Congress on Intelligent Control and Automation, IEEE, vol. 1, pp. 3672-3675, 2006.
4. M. Clerc J. Kennedy "The particle swarm-explosion, stability, and convergence in multidimensional complex space" IEEE Transactions on Evolutionary Computation, 6, 58-73, Feb. 2002.
5. L.D.S. Coelho, A quantum particle swarm optimizer with chaotic mutation operator ", Chaos, Solutions and Fractals, Elsevier, vol. 37, pp. 1409-1418, 2008.
6. R.C. Eberhart and J. Kennedy, "A new optimizer using particle swarm theory . Proceedings of the Sixth International Symposium on Micro Machine and Human Science, MHS '95, pp. 39-43, Nagoya, Japan, 1995.
7. R.C. Eberhart, and Y. Shi., Tracking and optimizing dynamic systems with particle swarms Proceedings of the 2001 Congress on Evolutionary Computation, vol. 1, pp. 94-100, 2002.
8. J. Ememipour M.M.S. Nejad M.M. Ebadzadeh J. Rezanejad" Introduce a new inertia weight for particle swarm optimization" The Fourth International Conference on Computer Sciences and Convergence Information Technology, 1650-1653 IEEE, 2009.
9. G.I. Evers, An automatic regrouping mechanism to deal with stagnation in particle swarm optimization " MSc. Thesis, Graduate school of the Univ ersity of Texas-Pan American, May, 2009.
10. Y. Feng, G.F. Teng, A.X. Wang, and Y.M. Yao., "Chaotic Inertia Weight in Particle Swarm Optimization " Second International Conference on Innovative Co mputing, Information and Control, IEEE, p. 475, 2008.
11. Y. Gao, X. An, and J. Liu., A particle swarm optimization algorithm with logarithm decreasing inertia weight and chaos mutation , International Conference on Computational Intelligence and Security, IEEE, vol. 1, pp. 61-65, 2008.
12. C. Grosan, and A. Abraham, A novel global optimization technique for high dimensional functions . International journal of intelligent systems, Wiley Periodicals, Inc., vol. 24, pp. 421-440, 2009.
13. B. Jiao, Z. Lian, and X. Gu, A dynamic inertia weight particle swarm optimization algorithm ", Chaos, solutions and fractals, Elsevier, no. 37, pp. 698-705, 2006.
14. J. Kennedy, and R.C. Eberhart, Particle swarm optimization , Proceedings of IEEE international conference on neural networks, Perth, Australia,vol. 4, pp. 1942-1948, 1995.
15. H.R. Li and Y.L. Gao., Particle swarm optimization algorithm with exponent decreasing inertia weight and stochastic mutation , Second International Conference on Information and Computing Science, IEEE, pp. 66-69, 2009.
16. Li-Lili, and He-Xingshi, Gaussian mutation Particle Swarm Optimization with dynamic adaptation inertia weight , World Congress on Software Engineering, IEEE, pp. 454-459, 2009.
17. R.F. Malik, T.A. Rahman, S.Z.M. Hashim, and R. Ngah, "New particle swarm optimizer with sigmoid increasing inertia weight International Journal of Computer Science and Security, vol. 1, no. 2, pp. 35-44, 2007.
18. A. Nickabadi, M.M. Ebadzadeh, and R. Safabakhsh, "A novel particle swarm optimization algorithm with adaptive inertia weight Applied soft computing on, vol. 11, pp. 3658-3670, 2011.
19. V.M. Saffarzadeh, P. Jafarzadeh, and M. Mazloom, A hybrid approach using particle swarm optimization and simulated annealing for n-queen problem , World academy of science, engineering and technology, vol. 67, pp. 517-521, 2010.
20. J. F. Schutte, J.A. Reinbolt, B.J. Fregly, R.T. Haftka, and A.D.George, "Parallel global optimization with the particle swarm algorithm , International journal for numerical methods in engineering, John Wiley & Sons, Ltd., vol. 61, pp. 2296-2315, Oct. 2004.
21. D. Sedighizadeh, and E. Masehian, Particle swarm optimization methods, taxonomy and applications , International journal of computer theory and engineering, vol. 1, no. 5, pp. 486-502, Dec. 2009.
22. X. Shen, Z. Chi, J. Yang, C. Chen, and Z. Chi, "Particle swarm optimization with dynamic adaptive inertia weight , International Conference on Challenges in Environmental Science and Computer Engineering, pp. 287-290. IEEE, 2010.
23. Y. Shi, and R. C. Eberhart, A modified particle swarm optimizer Proceedings of the IEEE international conference on evolutionary computation, pp. 69-73, 1998.
24. J. Xin, G. Chen, and Y. Hai, A particle swarm optimizer with multi-stage linearly-decreasing inertia weight " International Joint Conference on Computational Sciences and Optimization, pp. 505-508, 2009.