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Modified Bat Algorithm

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dc.creator KÜÇÜKSİLLE, Ecir Uğur
dc.creator CENGIZ, Yavuz
dc.creator Yilmaz, S.
dc.date 2013-12-31T22:00:00Z
dc.date.accessioned 2020-10-06T11:01:37Z
dc.date.available 2020-10-06T11:01:37Z
dc.identifier b705d464-de0c-4302-98f2-e5b63a14f8b0
dc.identifier 10.5755/j01.eee.20.2.4762
dc.identifier https://avesis.sdu.edu.tr/publication/details/b705d464-de0c-4302-98f2-e5b63a14f8b0/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/70139
dc.description Heuristic optimization algorithms which are inspired by nature have become very popular for solving real world problems recently. The use of these algorithms increases day by day in the literature because of their flexible structures and non-containing confusing mathematical terms. One of these algorithms is Bat Algorithm (BA). BA is a heuristic algorithm based on echolocation characteristic of bats and developed by the mimics of bats' foraging behaviour. In this study exploration mechanism of the algorithm is improved by modifying the equation of pulse emission rate and loudness of bats. The performance of Modified Bat Algorithm (MBA) is verified by 15 benchmark functions and the results were exhibited as comparative. The results of MBA are superior in terms of solution quality on optimization problems compared to BA.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Modified Bat Algorithm
dc.type info:eu-repo/semantics/article


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