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Neural Computing and Applications

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01.05.2013 | Original Article

Bat algorithm for constrained optimization tasks

verfasst von: Amir Hossein Gandomi, Xin-She Yang, Amir Hossein Alavi, Siamak Talatahari

Erschienen in: Neural Computing and Applications | Ausgabe 6/2013

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Abstract

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.

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Titel: Bat algorithm for constrained optimization tasks
verfasst von: Amir Hossein Gandomi
Xin-She Yang
Amir Hossein Alavi
Siamak Talatahari
Publikationsdatum: 01.05.2013
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 6/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-012-1028-9

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