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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2527/1/KP%202020%20%2861%29.pdf http://eprints.uthm.edu.my/2527/ |
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| Summary: | 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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