Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/16716
Title: TEACHING-LEARNING-BASED OPTIMIZATION ALGORITHM FOR SOLVING MACHINE DESIGN CONSTRAINED OPTIMIZATION
Authors: Marjanovic, Nenad
Kostic, Nenad
Petrovic, Nenad
Blagojevic, Mirko
Matejic, Milos
Journal: Annals of Faculty Engineering Hunedoara International Journal of Engineering
Issue Date: 2017
Abstract: The contemporary Teaching-learning based optimization method (TLBO), is used for solving machine design optimization problems. The method consists of two phases, teaching phase and learning phase. This method requires a small number of known facts which describe the problem in order to be able to find a solution. This research is oriented on software implementation of TLBO methods and problems in real world application for solving optimization problems. An original software has been developed which uses TLBO method. Testing the method is conducted on machine design examples from literature, and the results are compared to optimal solutions from literature. TLBO is a modern and very significant method, and this paper shows its convergence characteristics and practical implementation for engineering problems.
URI: https://scidar.kg.ac.rs/handle/123456789/16716
Type: article
ISSN: 1584-2665
Appears in Collections:Faculty of Engineering, Kragujevac

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