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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 309327, 10 pages
http://dx.doi.org/10.1155/2014/309327
Research Article

Design Optimization of Mechanical Components Using an Enhanced Teaching-Learning Based Optimization Algorithm with Differential Operator

Department of Mechanical Engineering, United Institute of Technology, Coimbatore 641020, India

Received 19 March 2014; Revised 12 July 2014; Accepted 27 July 2014; Published 25 September 2014

Academic Editor: Albert Victoire

Copyright © 2014 B. Thamaraikannan and V. Thirunavukkarasu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper studies in detail the background and implementation of a teaching-learning based optimization (TLBO) algorithm with differential operator for optimization task of a few mechanical components, which are essential for most of the mechanical engineering applications. Like most of the other heuristic techniques, TLBO is also a population-based method and uses a population of solutions to proceed to the global solution. A differential operator is incorporated into the TLBO for effective search of better solutions. To validate the effectiveness of the proposed method, three typical optimization problems are considered in this research: firstly, to optimize the weight in a belt-pulley drive, secondly, to optimize the volume in a closed coil helical spring, and finally to optimize the weight in a hollow shaft. have been demonstrated. Simulation result on the optimization (mechanical components) problems reveals the ability of the proposed methodology to find better optimal solutions compared to other optimization algorithms.