Solving design optimization problems via hunting search algorithm with Levy flights

dc.contributor.authorDoʇan E.
dc.date.accessioned2024-07-22T08:14:29Z
dc.date.available2024-07-22T08:14:29Z
dc.date.issued2014
dc.description.abstractThis study presents a hunting search based optimum design algorithm for engineering optimization problems. Hunting search algorithm is an optimum design method inspired by group hunting of animals such as wolves, lions, and dolphins. Each of these hunters employs hunting in a different way. However, they are common in that all of them search for a prey in a group. Hunters encircle the prey and the ring of siege is tightened gradually until it is caught. Hunting search algorithm is employed for the automation of optimum design process, during which the design variables are selected for the minimum objective function value controlled by the design restrictions. Three different examples, namely welded beam, cellular beam and moment resisting steel frame are selected as numerical design problems and solved for the optimum solution. Each example differs in the following ways: Unlike welded beam design problem having continuous design variables, steel frame and cellular beam design problems include discrete design variables. Moreover, while the cellular beam is designed under the provisions of BS 5960, LRFD-AISC (Load and Resistant Factor Design-American Institute of Steel Construction) is considered for the formulation of moment resisting steel frame. Levy Flights is adapted to the simple hunting search algorithm for better search. For comparison, same design examples are also solved by using some other well-known search methods in the literature. Results reveal that hunting search shows good performance in finding optimum solutions for each design problem. Copyright © 2014 Techno-Press, Ltd.
dc.identifier.DOI-ID10.12989/sem.2014.52.2.351
dc.identifier.issn12254568
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/16574
dc.language.isoEnglish
dc.publisherTechno-Press
dc.subjectLearning algorithms
dc.subjectSteel construction
dc.subjectStructural frames
dc.subjectStructural optimization
dc.subjectWelding
dc.subjectWelding codes
dc.subjectBeam design
dc.subjectCellular beams
dc.subjectLevy flights
dc.subjectSearch Algorithms
dc.subjectSteel frame
dc.subjectDesign
dc.titleSolving design optimization problems via hunting search algorithm with Levy flights
dc.typeArticle

Files