Hybrid optimization algorithm based on chaos, cloud and particle swarm optimization algorithm

Journal of Systems Engineering and Electronics

Volumn 24, Issue 2, 2013, Pages 324-334

  Li, Mingwei ^a   Kang, Haigui ^a   Zhou, Pengfei ^a   Hong, Weichiang ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b ORIENTAL INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Chaos theory; Cloud model; Hybrid optimization; Particle swarm optimization (PSO)

Indexed keywords

CLOUD MODELS; COMPARATIVE ANALYSIS; EVOLUTION OPERATION; HIGH-DIMENSIONAL; HYBRID OPTIMIZATION; HYBRID OPTIMIZATION ALGORITHM; MULTI-MODAL FUNCTIONS; PARTICLE SWARM OPTIMIZATION ALGORITHM;

ALGORITHMS; CHAOS THEORY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84878595999     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEE.2013.00041     Document Type: Article

References (33)

1. J. Kennedy, R. Eberhart. Particle swarm optimization. Proc.of the IEEE International Conference, 1995:1942-1948.
2. R. C. Eberhart, J. Kennedy. A new optimizer using particle swarm theory. Proc. of the 6th International Symposium, 1995:39-43.
3. Y. Shi, R. C. Eberhart. A modified particle swarm optimizer. Proc. of the IEEE Conference on Evolutionary Computation, 1998:69-73.
4. S. Vossm, X. Feng. ARMA model selection using particle swarm optimization and AIC criteria. Proc. of the 15th Triennial World Congress, 2002.
5. N. Jin, Y. Rahmat-Samii. Advances in particle swarm optimization for antenna designs: real-number, binary, singleobjective and multiobjective implementations. IEEE Trans. on Antennas and Propagation, 2007, 55(3):556-567. (Pubitemid 46534658)
6. B. Li, Y. Xiao, Q. Wu. Hybrid algorithm based on particle swarm optimization for solving constrained optimization problems. Control and Decision, 2004, 19(7):805-809.
7. Y. Mo, D. Chen, S. Hu. Chaos particle swarm optimization algorithm and its application in biochemical process dynamic optimization. Journal of Chemical Industry and Engineering (China), 2006, 57(9):2123-2127. (Pubitemid 44723745)
8. S. Dos, L. Coelho. Economic dispatch optimization using hybrid chaotic particle swarm optimizer. Proc. of the IEEE International Conference on Systems, Man and Cybernetics, 2007:1963-1968. (Pubitemid 351409851)
9. Z. Ren, J. Wang. Simulated annealing particle swarm algorithm applied in new traffic control model. Journal of Computer Applications, 2008, 28(10):2652-2654.
10. F. Zhou, H. Liu, Z. Liao. FIR digital filter design and its application based on particle swarm optimization algorithm. Computer Engineering and Applications, 2008, 44(33):83-85.
11. Y. Shi, R. C. Eberhart. Empirical study of particle swarm optimization. Proc. of the Congress on Evolutionary Computation, 1999:1945-1950.
12. Y. Shi, R. C. Eberhart. Fuzzy adaptive particle swarm optimization. Proc. of the IEEE Conference on Evolutionary Computation, 2001:101-106. (Pubitemid 32806325)
13. L. P. Zhang, H. J. Yu, S. X. Hu. A new approach to improve particle swarm optimization. Lecture Notes in Computer Sciences, 2003:134-139.
14. J. H. Han, Z. R. Li, Z. C. Wei. Adaptive particle swarm optimization algorithm and simulation. Journal of System Simulation, 2006, 18(10):2969-2971.
15. Y. Jin, K. Joshua, H. M. Lu, et al. The landscape adaptive particle swarm optimizes. Applied Soft Computing, 2008, 8(1):295-304.
16. P. N. Sugathan. Particle swarm optimizer with neighborhood operator. Proc. of the Congress on Evolutionary Computation, 1999.
17. M. Lovbjerg, T. Krink. Extending particle swarm optimizers with self-organized critically. Proc. of the IEEE International Conference on Evolutionary Computation, 2002.
18. J. Riget, J. S. Vesterstroem. A Diversity-Guided Particle Swarm Optimizer: the ARPSO. Aarhus: University of Aarhus, 2002.
19. A. Ratnaweera, S. K. Halgamuge. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans. on Evolutionary Computation, 2004, 8(3):240-255.
20. X. H. Shi, Y. C. Liang, H. P. Lee, et al. An improved GA and a novel PSO-GA-based hybrid algorithm. Information Processing Letters, 2005, 93(5):255-261. (Pubitemid 40114673)
21. A. Gandelli, F. Grimaccia, M. Mussetta, et al. Development and validation of different hybridization strategies between GA and PSO. Proc. of the IEEE Congress on Evolutionary Computation, 2007:2782-2785.
22. Y. T. Kao, E. Zahara. A hybrid genetic algorithm and particle swarm optimization for multimodal functions. Applied Soft Computing, 2008, 8(2):849-857. (Pubitemid 350266482)
23. S. Yu, Y. Wei, K. Zhu. Hybrid optimization algorithms based on particle swarm optimization and genetic algorithm. Systems Engineering and Electronics, 2011, 33(7):1648-1652. (in Chinese)
24. S. J. Sangwine. Color image edge detector based on quaternion convolution. Electronics Letters, 1998, 34(10):969-971. (Pubitemid 128560946)
25. X. Lü, K. Huang, G. Lian. Optimizing strategy of system level fault diagnosis based on chaos particle swarm optimization. Systems Engineering and Electronics, 2010, 32(1):217-220. (in Chinese)
26. Y. Sheng, H. Pan, L. Xia, et al. Hybrid chaos particle swarm optimization algorithm and application in benzene-toluene flash vaporization. Journal of Zhejiang University of Technology, 2010, 38(3):319-322.
27. Y. Dong, H. Guo. Adaptive chaos particle swarm optimization based on colony fitness variance. Application Research of Computers, 2011, 28(3):855-859.
28. D. Li, H. Meng, X. Shi. Membership clouds and membership cloud generators. Journal of Computer Research and Development, 1995, 32(6):15-20. (in Chinese)
29. F. Zhang, Y. Fan, C. Shen, et al. Intelligent control based on membership cloud generators. Acta Aeronautica Et Astronautica, 1999, 20(1):89-92.
30. X. Yue, Z. Sun, Y. Zhang, et al. Data mining technology in web logs based on the cloud model. Application Research of Computers, 2001(11):113-116.
31. X. Wei, Y. Zhou, H. Huang. Adaptive particle swarm optimization algorithm based on cloud theory. Computer Engineering and Applications, 2009, 45(1):48-50.
32. H. Liu, Y. Zhou. A cloud adaptive particle swarm optimization algorithm based on mean. Computer Engineering and Science, 2011, 33(5):97-100.
33. Y. Zhang, S. Shao. Cloud hyper mutation particle swarm optimization algorithm based on cloud model. Pattern Recognition and Artificial Intelligence, 2010, 24(1):91-95.