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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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The Passive Operating Mode of the Linear Optical Gesture Sensor, CZUSZYNSKI, K., RUMINSKI, J., WTOREK, J.
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Two Types of Fuzzy Logic Controllers for the Speed Control of the Doubly-Fed Induction Machine, SAIDI, A., NACERI, F., YOUB, L., CERNAT, M., GUASCH PESQUER, L.
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Automatic Detection and Bypassing of Anti-Debugging Techniques for Microsoft Windows Environments, PARK, J., JANG, Y.-H., HONG, S., PARK, Y.
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  2/2020 - 8

Performance Analysis of Tree Seed Algorithm for Small Dimension Optimization Functions

BESKIRLI, M. See more information about BESKIRLI, M. on SCOPUS See more information about BESKIRLI, M. on IEEExplore See more information about BESKIRLI, M. on Web of Science
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Download PDF pdficon (1,365 KB) | Citation | Downloads: 344 | Views: 723

Author keywords
benchmark testing, algorithms, optimization, heuristic algorithms, optimization methods

References keywords
algorithm(22), optimization(17), tree(13), seed(13), systems(9), problems(5), improved(5), kiran(4), constrained(4), chen(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 65 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02008
Web of Science Accession Number: 000537943500008
SCOPUS ID: 85087439628

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Tree-Seed Algorithm (TSA) simulates the growth of trees and seeds on a land. TSA is a method proposed to solve continuous optimization problems. Trees and seeds indicate possible solutions in the search space for optimization problems. Trees are planted in the ground at the beginning of the search and each tree produces several seeds during iterations. While the trees were selected randomly during seed formation, the tournament selection method was used and also hybridized by adding the C parameter, which is the acceleration coefficient calculated according to the size of the problem. In this study, continuous optimization problem has been solved by the hybrid method. First, the performance analyses of the five best known numerical benchmark functions have been done, in both TSA and hybrid method TSA with 2, 3, 4 and 5 dimensions, and 10-50 population numbers. After that, well-known algorithms in the literature like Particle Swarm Optimization (PSO), TSA, Artificial Bee Colony (ABC), Harmony Search (HS), as well as hybrid method TSA (HTSA) have been applied to twenty-four numerical benchmark functions and the performance analyses of algorithms have been done. Hopeful and comparable conclusions based on solution quality and robustness can be obtained with the hybrid method.

References | Cited By  «-- Click to see who has cited this paper

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[13] X. Zhang and W. Zhu, " Disruption Management for Vehicle Routing Problem Based on Consumer Value and Improved Tree-Seed Algorithm," IEEE Access, vol. 7, pp. 122019-122027, 2019,
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[14] M. S. Kiran, "An implementation of tree-seed algorithm (TSA) for constrained optimization," in Intelligent and Evolutionary Systems: Springer, 2016, pp. 189-197.
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[15] P. S. Rao, D. Vasumathi and K. Suresh, " The Adaptive Strategies Improving Web Personalization Using the Tree Seed Algorithm," In Cognitive Science and Artificial Intelligence, pp. 23-29, 2019.
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[16] J. Zhou, Y. Zheng, Y. Xu, H. Liu, and D. Chen, "A heuristic TS fuzzy model for the pumped-storage generator-motor using variable-length tree-seed algorithm-based competitive agglomeration," Energies, vol. 11, no. 4, p. 944, 2018.
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[17] M. Aslan, M. Beskirli, H. Kodaz, and M. S. Kiran, "An improved tree seed algorithm for optimization problems," Int J Mach Learn Comput, vol. 8, no. 1, pp. 20-25, 2018.
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[18] A. Babalik, A. C. Cinar, and M. S. Kiran, "A modification of tree-seed algorithm using Deb's rules for constrained optimization," Applied Soft Computing, vol. 63, pp. 289-305, 2018.
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[19] V. Muneeswaran and M. P. Rajasekaran, "Beltrami-regularized denoising filter based on tree seed optimization algorithm: an ultrasound image application," in International Conference on Information and Communication Technology for Intelligent Systems, 2017, pp. 449-457: Springer.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]

[20] A. A. El-Fergany and H. M. Hasanien, "Tree-seed algorithm for solving optimal power flow problem in large-scale power systems incorporating validations and comparisons," Applied Soft Computing, vol. 64, pp. 307-316, 2018.
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[21] A. Beskirli, D. Ozdemir, and H. Temurtas, "A comparison of modified tree-seed algorithm for high-dimensional numerical functions," Neural Computing and Applications, pp. 1-35, 2019.
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References Weight

Web of Science® Citations for all references: 40,754 TCR
SCOPUS® Citations for all references: 17,830 TCR

Web of Science® Average Citations per reference: 1,509 ACR
SCOPUS® Average Citations per reference: 660 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 2021-09-17 04:14 in 208 seconds.

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