Comparison of Swarm Intelligence Algorithms for High Dimensional Optimization Problem
High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selecting on...
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Institute of Advanced Engineering and Science,
2018-07-01.
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| LEADER | 02225 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs10622_8786 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Bashath, Samar |e author |
| 100 | 1 | 0 | |a IIUM Research Initiative Grants Scheme |q (RIGS) |d 346-0510 and Hadramout Establishment for Human Development. |e contributor |
| 700 | 1 | 0 | |a Ismail, Amelia Ritahani |e author |
| 245 | 0 | 0 | |a Comparison of Swarm Intelligence Algorithms for High Dimensional Optimization Problem |
| 260 | |b Institute of Advanced Engineering and Science, |c 2018-07-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10622 | ||
| 520 | |a High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selecting one algorithm among others for solving the high dimensional optimization problem is not an easily accomplished task. This paper presents a comprehensive study of two swarm intelligence based algorithms: 1-particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions. | ||
| 540 | |a Copyright (c) 2018 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Swarm Intelligence | ||
| 690 | |a high dimensional problem; swarm intelligence algorithms; particle swarm optimization; cuckoo search | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 1: July 2018; 300-307 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v11.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10622/8786 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/10622/8786 |z Get fulltext |