New directional bat algorithm for continuous optimization problems
Article
Chakri, A., Khelif, R., Benouaret, M. and Yang, X. 2017. New directional bat algorithm for continuous optimization problems. Expert Systems with Applications. 69, pp. 159-175. https://doi.org/10.1016/j.eswa.2016.10.050
Type | Article |
---|---|
Title | New directional bat algorithm for continuous optimization problems |
Authors | Chakri, A., Khelif, R., Benouaret, M. and Yang, X. |
Abstract | Bat algorithm (BA) is a recent optimization algorithm based on swarm intelligence and inspiration from the echolocation behavior of bats. One of the issues in the standard bat algorithm is the premature convergence that can occur due to the low exploration ability of the algorithm under some conditions. To overcome this deficiency, directional echolocation is introduced to the standard bat algorithm to enhance its exploration and exploitation capabilities. In addition to such directional echolocation, three other improvements have been embedded into the standard bat algorithm to enhance its performance. The new proposed approach, namely the directional Bat Algorithm (dBA), has been then tested using several standard and non-standard benchmarks from the CEC’2005 benchmark suite. The performance of dBA has been compared with ten other algorithms and BA variants using non-parametric statistical tests. The statistical test results show the superiority of the directional bat algorithm. |
Keywords | Bio-inspired algorithm; Directional bat algorithm; Optimization; Unconstrained optimization; Swarm intelligence |
Publisher | Elsevier |
Journal | Expert Systems with Applications |
ISSN | 0957-4174 |
Electronic | 1873-6793 |
Publication dates | |
Online | 21 Oct 2016 |
01 Mar 2017 | |
Publication process dates | |
Deposited | 25 Oct 2016 |
Submitted | 25 Jul 2015 |
Accepted | 20 Oct 2016 |
Output status | Published |
Accepted author manuscript | License File Access Level Open |
Copyright Statement | © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2016.10.050 |
Web of Science identifier | WOS:000389111000015 |
Language | English |
https://repository.mdx.ac.uk/item/86qx8
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