|2/2015 - 3|
Performance Comparison of the Differential Evolution and Particle Swarm Optimization Algorithms in Free-Space Optical Communications SystemsBASGUMUS, A. , NAMDAR, M. , YILMAZ, G. , ALTUNCU, A.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (664 KB) | Citation | Downloads: 912 | Views: 4,496|
communication systems, cooperative systems, distance measurement, evolutionary computation, particle swarm optimization
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
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.
|References|||||Cited By «-- Click to see who has cited this paper|
| 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 422] [SCOPUS Times Cited 477]
 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 94] [SCOPUS Times Cited 115]
 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 72] [SCOPUS Times Cited 85]
 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 70]
 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]
 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 97] [SCOPUS Times Cited 105]
 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] [SCOPUS Times Cited 14]
 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]
 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 21] [SCOPUS Times Cited 24]
 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 43]
 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]
 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]
 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
 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 29753]
 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 9] [SCOPUS Times Cited 11]
 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]
 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 43] [SCOPUS Times Cited 46]
 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]
 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]
 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]
 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 597] [SCOPUS Times Cited 736]
 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 83] [SCOPUS Times Cited 96]
 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.
[CrossRef] [SCOPUS Times Cited 19]
Web of Science® Citations for all references: 31,364 TCR
SCOPUS® Citations for all references: 1,971 TCR
Web of Science® Average Citations per reference: 1,307 ACR
SCOPUS® Average Citations per reference: 82 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2023-09-18 08:38 in 126 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.