A new bats echolocation-based algorithm for single objective optimisation
Yahya, NM, Tokhi, MO and Kasdirin, HA (2016). A new bats echolocation-based algorithm for single objective optimisation. Evolutionary Intelligence. 9 (1-2), pp. 1-20.
|Authors||Yahya, NM, Tokhi, MO and Kasdirin, HA|
© 2016, The Author(s). Bats sonar algorithm (BSA) as a swarm intelligence approach utilises the concept of echolocation of bats to find prey. However, the algorithm is unable to achieve good precision and fast convergence rate to the optimum solution. With this in mind, an adaptive bats sonar algorithm is introduced with new paradigms of real bats echolocation behaviour. The performance of the algorithm is validated through rigorous tests with several single objective optimisation benchmark test functions. The obtained results show that the proposed scheme outperforms the BSA in terms of accuracy and convergence speed and can be efficiently employed to solve engineering problems.
|Journal citation||9 (1-2), pp. 1-20|
|Publisher||Springer Science and Business Media LLC|
|Digital Object Identifier (DOI)||doi:10.1007/s12065-016-0134-5|
|01 Jun 2016|
|Online||18 Feb 2016|
|Publication process dates|
|Accepted||20 Jan 2016|
|Deposited||30 Apr 2020|
|Accepted author manuscript|
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