Matlab’s GA and Optimization Toolbox: A Fourbar Mechanism Application
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2014, Vol 2, Issue 1
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
Structure-Texture Decomposition of RGB-D Images
In this paper, we study the problem of separating texture from structure in RGB-D images. Our structure preserving image smoothing operator is based on the region covariance smoothing (RCS) method in [16] that we present...
An Efficient Document Categorization Approach for Turkish Based Texts
Since, it is infeasible to classify all the documents with human effort due to the rapid and uncontrollable growth in textual data, automatic methods have been approached in order to organize the data. Therefore a suppor...
Optimal Energy Management System for PV/Wind/Diesel-Battery Power Systems for Rural Health Clinic
Good operation of a hybrid system can be achieved only by a suitable control of the interaction in the operation of the different devices. This paper proposed a supervisory control system that will be used to control and...
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...
Performance Evaluation of Different Feature Extractors and Classifiers for Recognition of Human Faces with Low Resolution Images
Face recognition is an effective biometric identification technique used in many applications such as law enforcement, document validation and video surveillance. In this paper the effect of low resolution images which a...