An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process

Omar, Norhaizat and Eng, Chieh Ong and Adam, Asrul and Hasim, Saipol Hadi and Zainal Abidin, Amar Faiz and Jaafar, Hazriq Izzuan and Zakaria, Hamzah and Hassan, Jefery and Nordin, Nur Anis and Osman, Khairuddin and Mohd Hussein, Shamsul Faisal (2014) An Experimental Study of the Application of Gravitational Search Algorithm in Solving Route Optimization Problem for Holes Drilling Process. In: International Conference Recent treads in Engineering & Technology (ICRET’2014), 13-14 Feb 2014, Batam (Indonesia).

Text 2014_Conf._13Feb_ICRET2014_BATAM_(2).pdf Download (444kB)

Abstract

Previously, route planning in holes drilling process has been taken for granted due to its automated process, in nature. But as the interest to make Computer Numerical Control machines more efficient, there have been a steady increase in number of studies for the past decade. Many researchers proposed algorithms that belong into Computational Intelligence, due to their simplicity and ability to obtain optimal result. In this study, an optimization algorithm based on Gravitational Search Algorithm is proposed for solving route optimization in holes drilling process. The proposed approach involves modeling and simulation of Gravitational Search Algorithm. The performance of the algorithm is benchmark with one case study that had been frequently used by previous researchers. The result indicates that the proposed approach performs better than most of the literatures.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation
Depositing User:	HAZRIQ IZZUAN JAAFAR
Date Deposited:	05 Mar 2014 04:52
Last Modified:	18 Jul 2023 15:32
URI:	http://eprints.utem.edu.my/id/eprint/11671
Statistic Details:	View Download Statistic

Actions (login required)

View Item