The geometric constraint solving based on hybrid differential evolution and particle swarm optimization algorithm

Proceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010

Volumn , Issue PART 1, 2010, Pages 692-695

  Yi, Wan ^a   Cao, Chunhong ^b   Zhang, Changsheng ^b  

^a CHANGCHUN INSTITUTE OF TECHNOLOGY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT PROBLEMS; DIFFERENTIAL EVOLUTION; GEOMETRIC CONSTRAINT; GEOMETRIC CONSTRAINT SOLVING; HYBRID ALGORITHMS; HYBRID DIFFERENTIAL EVOLUTION; OPTIMIZATION PROBLEMS; PARTICLE SWARM OPTIMIZATION ALGORITHM;

ALGORITHMS; DATA PROCESSING; GEOMETRY; INTELLIGENT CONTROL; MATHEMATICAL OPERATORS; NONLINEAR EQUATIONS; PROBLEM SOLVING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78649267373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIP.2010.5565290     Document Type: Conference Paper

References (20)

1. Yuan Bo, "Research and Implementation of Geometric Constraint Solving Technology", doctor dissertation of Tsinghua University, Beijing, 1999
2. Kennedy JF, Eberhart RC "Particle swarm optimization", Proceedings of IEEE international conference on neural networks, Perth, Australia, 1995, pp. 1942-48.
3. Eberhart RC, Kennedy JF "A new optimizer using particle swarm theory", Proceedings of international symposium on micromachine and human science, Japan, 1995. pp. 39-43.
4. Goldberg DE. Genetic algorithms in search, optimization, and machine learning. Reading (MA, USA): Addison Wesley; 1989.
5. S.K. Fan, Y.C. Liang, E. Zahara, "Hybrid simplex search and particle swarm optimization for the global optimization of multimodal functions", Eng. Optim. Vol.36, 2004, pp. 401-418.
6. S.K. Fan and E. Zahara, "A hybrid simplex search and particle swarm optimization for unconstrained optimization". European Journal of Operational Research, Vol.181, 2007, pp. 527-548.
7. Q.J. Guo, H.B. Yu and A.D. Xu, "A hybrid PSO-GD based intelligent method for machine diagnosis", Digital Signal Processing, vol. 16, no.4, (2006), pp. 402-418.
8. Y.T. Kao, E. Zahara, "A hybrid genetic algorithm and particle swarm optimization for multimodal functions", Applied Soft Computing, Vol.8, No.2, (2008), pp. 849-857
9. P.S. Shelokar, Patrick Siarry, V.K. Jayaraman and B.D. Kulkarni, "Particle swarm and ant colony algorithms hybridized for improved continuous optimization", Applied Mathematics and Computation, Vol.188, No.1, (2007), pp. 129-142
10. R. Storn, K. Price, "Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces". Journal of Global Optimization 11, 1997, pp. 341-359.
11. T. Krink, B. Filipie, G. B. Fogel and R. Thomsen, "Noisy Optimization Problem - A particular Challenge for Difference Evolution". Proceedings of the IEEE Congress on Evolutionary Computation, Vol.1, 2004, Piscataway, New Jersey., pp. 332-332
12. Changsheng Zhang, Jiaxu Ning, Dantong Ouyang. "A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization", Operations Research Letters, 2009, vol. 37, No. 2, pp. 117-122.
13. F. van den Bergh and A.P. Engelbrecht, "A study of particle swarm optimization particle trajectories", Information Sciences, vol. 176, no.8, 2006, pp. 937-971.
14. J. Kennedy, "Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance", Proceedings of the IEEE Congress on Evolutionary Computation, 1999, pp. 1931-1938.
15. T. Šmuc, "Sensitivity of differential evolution algorithm to value of control parameters", Proceedings of the International Conference on Artificial Intelligence, 2002, pp. 1087-1093.
16. T. Šmuc, "Improving convergence properties of the differential evolution algorithm". Proceedings of MENDEL 2002, 8th International Mendel Conference on Soft Computing, 2002, pp. 80-86
17. M.M. Ali, "Population set based global optimization algorithms: Some modifications and numerical studies", Computers and Operations Research, vol., 31, no.10, 2004, pp. 1703-1725.
18. F. van den Bergh, "An Analysis of Particle Swarm Optimizers", PhD thesis, Department of Computer Science, University of Pretoria, Pretoria, South Africa, 2002.
19. D. Karaboga, "An Idea Based On Honey Bee Swarm For Numerical Optimization", Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department 2005.
20. Liu Shengli, Tang Min, Dong Jinxiang. "Geometric Constraint Satisfaction Using Genetic Simulated Annealing Algorithm". Journal of Image and Graphics, vol8, No.8, 2003, pp. 938-945