A new hybrid evolutionary algorithm based on ICA and GA: Recursive-ICA-GA

Proceedings of the 2010 International Conference on Artificial Intelligence, ICAI 2010

Volumn 1, Issue , 2010, Pages 131-137

  Khorani, A Vahid ^a   Razavi, B Farzad ^a   Ghoncheh, C Ahsan ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITIVE ALGORITHMS; CONVENTIONAL ALGORITHMS; CONVERGENCE SPEED; FITNESS FUNCTIONS; GA (GENETIC ALGORITHM); HYBRID EVOLUTIONARY ALGORITHM; OPTIMIZATION PROCESS; OPTIMIZATION TECHNIQUES;

ARTIFICIAL INTELLIGENCE; OPTIMIZATION;

GENETIC ALGORITHMS;

EID: 84858725391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Atashpaz Gargari, E., et al., A novel approach for PID controller design in MIMO distillation column process, in Proceeding of IEEE CEC 2008, within IEEE WCCI 2008. 2008: Hong Kong. p. 1929-1934.
2. Mitilineos, S.A., K.S. Mougiakos, and S.C.A. Thomopoulos, Design and Optimization of ESPAR Antennas via Impedance Measurements and a Genetic Algorithm. Antennas and Propagation Magazine, IEEE, 2009. 51(2): p. 188-123.
3. Ling, X., et al., Estimation Mechanics Parameters of Rock Mass Based on Improved Genetic Algorithm, in 2009 the 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009). 2009.
4. Wimalendra, R.S., et al., Determination of Maximum Possible Fuel Economy of HEW for Known Drive Cycle: Genetic Algorithm Based Approach in Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on. 2008. p. 289-294.
5. Razavi, F., et al., A new comprehensive genetic algorithm method for optimal overcurrent relays coordination. Electric Power Systems Research, 2008. 78(4): p. 713-720.
6. Haupt, R.L. and S.E. Haupt, Practical Genetic Algorithms. Second Edition ed. 2004, New Jersey: John Wiley & Sons.
7. Shi, X.H., et al., An improved GA and a novel PSO-GA-based hybrid algorithm. Information Processing Letters, 2005. 93(5): p. 255-261.
8. PARSOPOULOS, K.E. and M.N. VRAHATIS, Recent approaches to global optimization problems through Particle Swarm Optimization. Natural Computing, 2002. 1(2-3): p. 235-306.
9. Atashpaz Gargari, E. and L. Caro, Imperialist Competitve Algorithm: An Algorithm for Optimization Inspired by Imperialistic Competition, in 2007 IEEE Congress on Evolutionary Computation (CEC 2007). 2007.
10. Zhang, Q.-L., X. Li, and Q.-A. Tran, A Modified Particle Swarm Optimization Algorithm, in Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on. 2005: Shanghai, China p. 2993 - 2995.
11. Shi, X.H., et al., Hybrid evolutionary algorithms based on PSO and GA, in Evolutionary Computation. 2003. p. 2393-2399.
12. Ai-ling, C., Y. Gen-ke, and W. Zhi-ming, Hybrid discrete particle swarm optimization algorithm for capacitated vehicle routing problem Journal of Zhejiang University - Science A, 2006. 7: p. 607-614.
13. RAUCH, W. and P. HARREMOES, GENETIC ALGORITHM SINREAL TIME CONTROL APPUED TO MINIMIZE TRANSIENT POLLUTION FROM URBAN WASTEWATER SYSTEMS. Water Research 1999. 33(5): p. 1265-1277
14. Liu, Y., L. Ma, and J. Zhang, Reactive power optimization by GA/SA/TS combined algorithms International Journal of Electrical Power & Energy Systems, 2002. 24(9): p. 765-769.