A new hybrid PSOGSA algorithm for function optimization

Proceedings of ICCIA 2010 - 2010 International Conference on Computer and Information Application

Volumn , Issue , 2010, Pages 374-377

  Mirjalili, Seyedali ^a   Hashim, Siti Zaiton Mohd ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Function optimization; Gravitational Search Algorithm (GSA); Particle Swarm Optimization (PSO)

Indexed keywords

BENCHMARK TESTS; FASTER CONVERGENCE; FUNCTION OPTIMIZATION; HYBRID ALGORITHMS; LOCAL OPTIMUM; POPULATION-BASED ALGORITHM; SEARCH ALGORITHMS; STANDARD PSO;

BENCHMARKING; COMPUTER APPLICATIONS; LEARNING ALGORITHMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84857134761     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIA.2010.6141614     Document Type: Conference Paper

References (12)

1. A.E. Eiben and C.A. Schippers, "On evolutionary exploration and exploitation," Fundamenta Informaticate, vol. 35, no. 1-4, pp. 35-50, 1998.
2. DH. Wolpert and WG. Macread, "No free lunch theorems for optimization," IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 67-82, 1997.
3. X. Lai and M. Zhang, "An efficient ensemble of GA and PSO for real function optimization," in 2nd IEEE International Conference on Computer Science and Information Technology, 2009, pp. 651-655.
4. A. A. A. Esmin, G. Lambert-Torres, and G. B. Alvarenga, "Hybrid Evolutionary Algorithm Based on PSO and GA mutation," in proceeding of the Sixth International Conference on Hybrid Intelligent Systems (HIS 06), 2007, p. 57.
5. L. Li, B. Xue, B. Niu, L. Tan, and J. Wang, "A Novel PSO-DE-Based Hybrid Algorithm for Global Optimization," in Lecture Notes in Computer Science.: Springer Berlin / Heidelberg, 2008, pp. 785-793.
6. N. Holden and AA Freitas, "A Hybrid PSO/ACO Algorithm for Discoverin Classification Rules in Data Mining," Journal of Artificial Evolution and Applications (JAEA), 2008.
7. E. Rashedi, S. Nezamabadi, and S. Saryazdi, "GSA: A Gravitational Search Algorithm," Information Sciences, vol. 179, no. 13, pp. 2232-2248, 2009.
8. J. Kennedy and RC. Eberhart, "Particle swarm optimization," in Proceedings of IEEE international conference on neural networks, vol. 4, 1995, pp. 1942-1948.
9. Y. Shi and R.C. Eberhart, "A modified Particle SwarmOptimiser," in IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, 1998.
10. Isaac Newton, In experimental philosophy particular propositions are inferred from the phenomena and afterwards rendered general by induction, 3rd ed.: Andrew Motte's English translation published, 1729, vol. 2.
11. E. G Talbi, "A Taxonomy of Hybrid Metaheuristic," Journal of Heuristics, vol. 8, no. 5, pp. 541-546, 2002.
12. X. Yao, Y. Liu, and G. Lin, "Evolutionary programming made faster," IEEE Transactions on Evolutionary Computation, vol. 3, pp. 82-102, 1999.