Bat algorithm for constrained optimization tasks, neural computing & applications

Gandomi, Amir H., Yang, Xin-She ORCID logoORCID:, Alavi, Amir H. and Talatahari, Siamak (2012) Bat algorithm for constrained optimization tasks, neural computing & applications. Neural Computing and Applications . ISSN 0941-0643 [Article] (doi:10.1007/s00521-012-1028-9)


In this study, we use a new metaheuristic optimization algorithm, called bat algorithm (BA), to solve constraint optimization tasks. BA is verified using several classical benchmark constraint problems. For further validation, BA is applied to three benchmark constraint engineering problems reported in the specialized literature. The performance of the bat algorithm is compared with various existing algorithms. The optimal solutions obtained by BA are found to be better than the best solutions provided by the existing methods. Finally, the unique search features used in BA are analyzed, and their implications for future research are discussed in detail.
(From publisher's website)

Item Type: Article
Additional Information: Online First, 20 July 2012
Keywords (uncontrolled): Bat algorithm ; Constraint optimization ; Metaheuristic algorithm
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 9557
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Depositing User: Teddy ~
Date Deposited: 19 Nov 2012 11:07
Last Modified: 10 Jun 2019 13:07

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