Application of a composite differential evolution algorithm in optimal neural network design for propagation path-loss prediction in mobile communication systems

IEEE Antennas and Wireless Propagation Letters

Volumn 12, Issue , 2013, Pages 364-367

  Sotiroudis, Sotirios P ^a   Goudos, Sotirios K ^a   Gotsis, Konstantinos A ^a   Siakavara, Katherine ^a   Sahalos, John N ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Differential evolution (DE); evolutionary algorithms (EAs); mobile communications; neural network; optimization methods; propagation path loss; self adaptive differential evolution

Indexed keywords

DIFFERENTIAL EVOLUTION; EVOLUTIONARY ALGORITHMS (EAS); MOBILE COMMUNICATIONS; OPTIMIZATION METHOD; PROPAGATION PATHS; SELF-ADAPTIVE DIFFERENTIAL EVOLUTIONS;

EVOLUTIONARY ALGORITHMS; FORECASTING; MOBILE TELECOMMUNICATION SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; RADIO BROADCASTING;

OPTIMAL SYSTEMS;

EID: 84875822640     PISSN: 15361225     EISSN: None     Source Type: Journal    
DOI: 10.1109/LAWP.2013.2251994     Document Type: Article

References (13)

1. T. K. Sarkar, Z. Ji, K. Kim, A. Medouri, and M. Salazar-Palma, "A survey of various propagation models for mobile communication," IEEE Antennas Propag. Mag., vol. 45, no. 3, pp. 51-82, Jun. 2003.
2. S. Haykin, Neural Networks: A Comprehensive Foundation. New York, NY, USA: Macmillan, 1994.
3. G. Cerri, M. Cinalli, F. Michetti, and P. Russo, "Feed forward neural networks for path loss prediction in urban environment," IEEE Trans. Antennas Propag., vol. 52, no. 11, pp. 3137-3139, Nov. 2004.
4. G. Panda, R. K. Mishra, and S. S. Palai, "A novel site adaptive propagation model," IEEE Antennas Wireless Propag. Lett., vol. 4, pp. 447-448, 2005. (Pubitemid 43131831)
5. P. Rocca, M. Benedetti, M. Donelli, D. Franceschini, and A. Massa, "Evolutionary optimization as applied to inverse scattering problems," Inverse Prob., vol. 25, pp. 1-41, 2009, 123003.
6. R. Storn and K. Price, "Differential evolution-A simple and efficient adaptive scheme for global optimization over continuous spaces," J. Global Optim., vol. 11, pp. 341-359, Dec. 1997. (Pubitemid 127502202)
7. P. Rocca, G. Oliveri, and A. Massa, "Differential evolution as applied to electromagnetics," IEEE Antennas Propag. Mag., vol. 53, no. 1, pp. 38-49, Feb. 2011.
8. A. Massa, M. Pastorino, and A. Randazzo, "Optimization of the directivity of a monopulse antenna with a subarray weighting by a hybrid differential evolution method," IEEE Antennas Wireless Propag. Lett., vol. 5, pp. 155-158, 2006.
9. Y.Wang, Z. Cai, and Q. Zhang, "Differential evolution with composite trial vector generation strategies and control parameters," IEEE Trans. Evol. Comput., vol. 15, pp. 55-66, Feb. 2011.
10. J. Brest, S. Greiner, B. Boskovic, M. Mernik, and V. Zumer, "Selfadapting control parameters in differential evolution: A comparative study on numerical benchmark problems," IEEE Trans. Evol. Comput., vol. 10, no. 6, pp. 646-657, Dec 2006. (Pubitemid 46445554)
11. A. K. Qin, V. L. Huang, and P. N. Suganthan, "Differential evolution algorithm with strategy adaptation for global numerical optimization," IEEE Trans. Evol. Comput., vol. 13, no. 2, pp. 398-417, Apr 2009.
12. J. Zhang and A. C. Sanderson, "JADE: Adaptive differential evolution with optional external archive," IEEE Trans. Evol. Comput., vol. 13, no. 5, pp. 945-958, Oct. 2009.
13. S. P. Sotiroudis, K. Siakavara, and J. N. Sahalos, "A neural network approach to the prediction of the propagation path-loss formobile communications systems in urban environments," in Proc. PIERS, Prague, Czech Republic, 2007, pp. 162-166.