Stochastic Algorithm Case Study

A tétel rövid nézete
dc.contributor.advisorBaran, Sándor
dc.contributor.authorZhang, Su Ying
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-04-29T07:07:41Z
dc.date.available2021-04-29T07:07:41Z
dc.date.created2021-04-28
dc.description.abstractGlobal and constrained optimization problems nowadays appear in almost all fields of science and engineering. In this case I focused on stochastic optimization in my thesis. The paper contains theoretical backgrounds and codes, along with multiple figures to present an overall review of simulated annealing algorithm. As a first step I created an implementation of SA for global optimization. On the second stage I combined several methods for choosing the candidate points and various cooling schedules. For the last part the algorithm was tested by several test functions.hu_HU
dc.description.courseComputer Science Engineeringhu_HU
dc.description.degreeMSc/MAhu_HU
dc.format.extent55hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/307738
dc.language.isoenhu_HU
dc.subjectStochastic Optimizationhu_HU
dc.subjectSimulated Annealinghu_HU
dc.subjectAlgorithmhu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleStochastic Algorithm Case Studyhu_HU
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