Simulation of ant colony optimization on hole making performance

Hole making operation one of machining process widely used in industrial industry. One of the main criteria in determining the efficiency of machining performance in hole making operation is shortest machining time. In this paper, simulation approach based on Ant colony optimization (ACO) has b...

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Main Authors: Abdullah, Haslina, Tuan Zahari, Tuan Muhammad Lutfi, Zakaria, Mohamad Shukri
Format: Conference or Workshop Item
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.uthm.edu.my/2527/1/KP%202020%20%2861%29.pdf
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author Abdullah, Haslina
Tuan Zahari, Tuan Muhammad Lutfi
Zakaria, Mohamad Shukri
author_facet Abdullah, Haslina
Tuan Zahari, Tuan Muhammad Lutfi
Zakaria, Mohamad Shukri
author_sort Abdullah, Haslina
collection UTHM
description Hole making operation one of machining process widely used in industrial industry. One of the main criteria in determining the efficiency of machining performance in hole making operation is shortest machining time. In this paper, simulation approach based on Ant colony optimization (ACO) has been done on hole making operation in order to minimize the machining time. The result based on ACO has been compared with the result obtain based on Genetic Algorithm (GA). Based on the simulation results, the ACO is enhance the performance of hole making process by reducing 13.5% of machining time. The results show that ACO is capable to minimize the machining time of hole making procees.
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spelling uthm.eprints-25272021-10-20T07:44:20Z http://eprints.uthm.edu.my/2527/ Simulation of ant colony optimization on hole making performance Abdullah, Haslina Tuan Zahari, Tuan Muhammad Lutfi Zakaria, Mohamad Shukri TS155-194 Production management. Operations management Hole making operation one of machining process widely used in industrial industry. One of the main criteria in determining the efficiency of machining performance in hole making operation is shortest machining time. In this paper, simulation approach based on Ant colony optimization (ACO) has been done on hole making operation in order to minimize the machining time. The result based on ACO has been compared with the result obtain based on Genetic Algorithm (GA). Based on the simulation results, the ACO is enhance the performance of hole making process by reducing 13.5% of machining time. The results show that ACO is capable to minimize the machining time of hole making procees. 2018-07 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/2527/1/KP%202020%20%2861%29.pdf Abdullah, Haslina and Tuan Zahari, Tuan Muhammad Lutfi and Zakaria, Mohamad Shukri (2018) Simulation of ant colony optimization on hole making performance. In: Innovative research and industrial dialogue 2018, 18 July 2018, UTEM.
spellingShingle TS155-194 Production management. Operations management
Abdullah, Haslina
Tuan Zahari, Tuan Muhammad Lutfi
Zakaria, Mohamad Shukri
Simulation of ant colony optimization on hole making performance
title Simulation of ant colony optimization on hole making performance
title_full Simulation of ant colony optimization on hole making performance
title_fullStr Simulation of ant colony optimization on hole making performance
title_full_unstemmed Simulation of ant colony optimization on hole making performance
title_short Simulation of ant colony optimization on hole making performance
title_sort simulation of ant colony optimization on hole making performance
topic TS155-194 Production management. Operations management
url http://eprints.uthm.edu.my/2527/1/KP%202020%20%2861%29.pdf
work_keys_str_mv AT abdullahhaslina simulationofantcolonyoptimizationonholemakingperformance
AT tuanzaharituanmuhammadlutfi simulationofantcolonyoptimizationonholemakingperformance
AT zakariamohamadshukri simulationofantcolonyoptimizationonholemakingperformance