Matlab’s GA and Optimization Toolbox: A Fourbar Mechanism Application

Abstract

This study presents an optimization approach for synthesis of planar mechanisms. A four bar mechanism is chosen for an application example. This mechanism is studied with the constraints assigned. Genetic Algorithm (GA) is applied during optimization study. GA in Optimization Toolbox is then compared with nonlinear constrained numerical optimization command; fmincon in Matl ab©. Different case studies are performed by considering different target points. These mechanisms are drawn using Excel© spread sheet to see their animations. An optimization example is presented here. Performances of both algorithms are then compared in terms of coupler curves precision points. Their use in designing a four bar mechanism is explored for its further use.

Authors and Affiliations

L. C. Dülger*| Gaziantep University, Faculty of Eng., Mech. Eng. Dept., Gaziantep/TURKEY, H. Erdoğan| Turkish Railway Corporation, Adana/TURKEY, M. E. Kütük| Gaziantep University, Faculty of Eng., Mech. Eng. Dept., Gaziantep/TURKEY

Keywords

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  • EP ID EP748
  • DOI -
  • Views 673
  • Downloads 44

How To Cite

L. C. Dülger*, H. Erdoğan, M. E. Kütük (2014). Matlab’s GA and Optimization Toolbox: A Fourbar Mechanism Application. International Journal of Intelligent Systems and Applications in Engineering, 2(1), 10-15. https://europub.co.uk/articles/-A-748