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

Related Articles

SLAM – Map Building and Navigation via ROS#

The presented work describes a ROS based control system of a Turtlebot robot for mapping and navigation in indoor environments. It presents the navigation of Turtlebot in self-created environment. The mapping process is...

Neural Boundary Conditions in Optic Guides

In this study, the boundary coefficients of Transverse Electric (TE) and Transverse Magnetic (TM) modes at a planar slab optic guides are modeled by Neural Networks (NN). After modal analysis, train and test files are pr...

Rainfall Runoff Modelling Using Generalized Neural Network and Radial Basis Network

Rainfall runoff study has a wide scope in water resource management. To provide a reliable prediction model is of paramount importance. Runoff prediction is carried out using generalized regression neural network and rad...

Avoiding Premature Convergence of Genetic Algorithm in Informational Retrieval Systems

Genetic algorithm is been adopted to implement information retrieval systems by many researchers to retrieve optimal document set based on user query. However, GA is been critiqued by premature convergence due to falling...

Statistical Methods for Quantitatively Detecting Fungal Disease from Fruits’ Images

In this paper we have proposed statistical methods for detecting fungal disease and classifying based on disease severity levels. Most fruits diseases are caused by bacteria, fungi, virus, etc of which fungi are respons...

Download PDF file
  • EP ID EP748
  • DOI -
  • Views 676
  • 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