Optimum design of cellular beams via bat algorithm with levy flights

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dc.contributor.authorDogan E.
dc.contributor.authorCiftcioglu A.O.
dc.contributor.authorErdal F.
dc.date.accessioned2024-07-22T08:11:05Z
dc.date.available2024-07-22T08:11:05Z
dc.date.issued2017
dc.description.abstractRecently, several non-deterministic search techniques have been proposed for the development of structural optimization problems. This study presents a bat algorithm for the optimum solution of engineering optimization problems. Bat algorithm is based on the micro-bats' echolocation capability. They use echo sounder to identify prey, keep away from obstacles (barriers) and settle their roosting crevices in the darkness. Bats give out a very powerful sound and then listen its echo from the nearby items. They even use the time retard from the emission and sensing of the echo. They can notice the distance and position of the target, target's characteristics and even the target's moving speed such as very small insects. Bat algorithm is an optimum design algorithm for the automatization of optimum design process, during which the design variables are chosen for the minimum objective function value limited by the design constraints. Three varied cellular beam problems subjected different loading are selected as numerical design examples. Also in this study, Levy Flights is adapted to the simple bat algorithm for better solution. For comparison, three cellular beam problems solved for the optimum solution by using bat algorithm and bat algorithm with Levy Flights technique. Results bring out that bat algorithm is effective in finding the optimum solution for each design problem. Moreover, adaptation of Levy Flights technique to simple bat algorithm generates better solutions than the solutions obtained by simple bat algorithm. © Copyright by the paper's authors.
dc.identifier.issn16130073
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/15487
dc.language.isoEnglish
dc.publisherCEUR-WS
dc.subjectDesign
dc.subjectStructural optimization
dc.subjectDesign constraints
dc.subjectDesign variables
dc.subjectEngineering optimization problems
dc.subjectNumerical design
dc.subjectObjective function values
dc.subjectOptimum solution
dc.subjectSearch technique
dc.subjectStructural optimization problems
dc.subjectOptimization
dc.titleOptimum design of cellular beams via bat algorithm with levy flights
dc.typeConference paper

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