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Performance Comparison of the Differential Evolution and Particle Swarm Optimization Algorithms in Free-Space Optical Communications SystemsBASGUMUS, A. , NAMDAR, M. , YILMAZ, G. , ALTUNCU, A. |
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Author keywords
communication systems, cooperative systems, distance measurement, evolutionary computation, particle swarm optimization
References keywords
optimization(16), swarm(14), optical(7), evolution(7), communications(7), algorithm(7), space(6), free(6), systems(5), relay(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 17 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02003
Web of Science Accession Number: 000356808900003
SCOPUS ID: 84979832517
Abstract
In this comparative study we evaluate the performance of Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms in free space optical communications systems. In particular we obtain the optimal transmission distances for different relay nodes in the parallel decode-and-forward relaying schemes by optimizing the relay placements. We analyze that the cost functions are suitably minimized. Then we investigate the execution time and the stability of the DE and PSO algorithms for decode-and-forward relay-assisted free space optical links. The simulation results demonstrate that the PSO algorithm outperforms DE algorithm in terms of the minimization of the cost function. Furthermore the results indicate that we get the similar performance for the execution-time and optimization results in the DE and PSO algorithms. |
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[1] M. Safari and M. Uysal, "Relay-assisted free-space optical communication," IEEE Trans. Wireless Commun., vol. 7, no. 12, pp. 5441-5449, Dec. 2008. [CrossRef] [Web of Science Times Cited 435] [SCOPUS Times Cited 509] [2] M. Karimi and M. Nasiri-Kenari, "Free space optical communications via optical amplify-and-forward relaying," J. Lightwave Technol., vol. 29, no. 2, pp. 242-248, Jan. 2011. [CrossRef] [Web of Science Times Cited 96] [SCOPUS Times Cited 120] [3] M. Karimi and M. Nasiri-Kenari, "BER analysis of cooperative systems in free-space optical networks," J. Lightwave Technol., vol. 27, no. 24, pp. 5639-5647, Dec. 2009. [CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 87] [4] M. Karimi and M. Nasiri-Kenari, "Outage analysis of relay-assisted free space optical communications," IET Commun., vol. 4, no. 12, pp. 1423-1432, Aug. 2010. [CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 71] [5] M.A. Kashani and M. Uysal, "Outage performance and diversity gain analysis of free-space optical multi-hop parallel relaying," J. Opt. Commun. Netw., vol. 5, no. 8, pp. 901-909, Aug. 2013. [CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 64] [6] M.A. Kashani, M. Safari and M. Uysal, "Optimal relay placement and diversity analysis of relay- assisted free-space optical communications systems," J. Opt. Commun. Netw., vol. 5, no. 1, pp. 37-47, Jan. 2013. [CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 115] [7] C. Knievel, and P. A. Hoeher, "On Particle Swarm Optimization for MIMO Channel Estimation," Journal of Electrical and Computer Engineering, vol. 2012, doi:10.1155/2012/614384, 10pp., Dec. 2011. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16] [8] L. Su, P. Wang, and F. Liu, "Particle swarm optimization based resource block allocation algorithm for downlink LTE systems," IEEE 18th Asia-Pacific Conference on Communications, pp. 970-974, Jeju Island, Oct. 2012. [CrossRef] [SCOPUS Times Cited 25] [9] F. R. Dunand, and T. Abrao, "Energy-Efficient Power Allocation for WDM/OCDM Networks With Particle Swarm Optimization," J. Opt. Commun. Netw., vol. 5, no. 5, pp. 512-523, May 2013. [CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 26] [10] D. Manickavelu, and R. U. Vaidyanathan, "Particle swarm optimization (PSO)-based node and link lifetime prediction algorithm for route recovery in MANET," Eurosip Journal on Wireless Communications and Networking, vol. 2014, no. 107, pp. 1-10, Jul. 2014. [CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 46] [11] A. Omidvar, and K. Mohammadi, "Particle swarm optimization in intelligent routing of delay-tolerant network routing," Eurosip Journal on Wireless Communications and Networking, vol. 2014, no. 147, pp. 1-8, Sep. 2014. [CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 7] [12] L. Xiang, L. Ximing, M. F. Ercan, and Z. Yi, "A New Hybrid Algorithm Based on Collaborative Line Search and Particle Swarm Optimization," IEEE 4th International Conference on Autonomous Robots and Agents, pp. 486-489, Wellington, Feb. 2009. [CrossRef] [SCOPUS Times Cited 2] [13] R. Storn, and K. Price, "Differential evolution: A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces," Technical report, TR-95-012, International Computer Science Institute, Germany, Mar. 1995 [14] R. Eberhart, and J. Kennedy, "Particle swarm optimization," In Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948, Perth, WA, Dec. 1995. [CrossRef] [Web of Science Times Cited 32923] [15] M. Zhang, W. Zhangi, and Y. Sun, "Chaotic Co-evolutionary Algorithm Based on Differential Evolution and Particle Swarm Optimization," IEEE International Conference on Automation and Logistics, pp. 885-889, Shenyang, Aug. 2009. [CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 13] [16] I. Ahmed, S. Sadeque, and S. Pervin, "Margin Adaptive Resource Allocation for Multiuser OFDM Systems by Modified Particle Swarm Optimization and Differential Evolution," IEEE 21st International Conference on Electrical Communications and Computers, pp. 227-231, San Andres Cholula, Mar. 2011. [CrossRef] [SCOPUS Times Cited 8] [17] J. Zhang, S. Chen, X. Mu, and L. Hanzo,"Evolutionary-Algorithm-Assisted Joint Channel Estimation and Turbo Multiuser Detection/Decoding for OFDM/SDMA," IEEE Transactions on Vehicular Technology, vol. 63, no. 3, pp. 1204-1222, Mar. 2014. [CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 49] [18] X. Xu, and Y. Li, "Comparison between Particle Swarm Optimization, Differential Evolution and Multi-parents Crossover," IEEE International Conference on Computational Intelligence and Security, pp. 124-127, Harbin, Dec. 2007. [CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 1] [19] S. K. Goudos, Z. D. Zaharis, K. B. Baltzis, C. L. Hilas and, J. N. Sahalos, "A Comparative Study of Particle Swarm Optimization and Differential Evolution on Radar Absorbing Materials Design for EMC Applications," IEEE International Symposium on Electromagnetic Compatibility, pp. 1-4, Athens, Jun. 2009. [CrossRef] [SCOPUS Times Cited 13] [20] B. Basu, and G. K. Mahanti, "A Comparative Study of Modified Particle Swarm Optimization, Differential Evolution and Artificial Bees Colony Optimization in Synthesis of Circular Array," IEEE International Conference on Power, Control and Embedded Systems, pp. 1-5, Allahabad, Dec. 2010. [CrossRef] [SCOPUS Times Cited 10] [21] V. Roberge, M. Tarbouchi, and G. Labonte, "Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning," IEEE Transactions on Industrial Infirmatics, vol. 9, no. 1, pp. 132-141. Feb. 2013. [CrossRef] [Web of Science Times Cited 689] [SCOPUS Times Cited 875] [22] A. Deb, J. S. Roy, and B. Gupta, "Performance Comparison of Differential Evolution, Particle Swarm Optimization and Genetic Algorithm in the Design of Circularly Polarized Microstrip Antennas," IEEE Transactions on Antennas and Propagation, vol. 62, no. 8, pp. 3920-3928, May. 2014. [CrossRef] [Web of Science Times Cited 92] [SCOPUS Times Cited 111] [23] A.S. Avestimehr, D.N.C. Tse, "Outage-optimal relaying in the low SNR regime," Proceedings of the IEEE International Symposium on Information Theory, pp. 941-45, Adelaide, SA, 2005. 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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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