An Evolutionary Algorithmic Approach for Improving the Success Rate of Selective Assembly through a Novel EAUB Method

An Evolutionary Algorithmic Approach for Improving the Success Rate of Selective Assembly through a Novel EAUB Method

This work addresses an evolutionary algorithmic approach to reduce the surplus pieces in selective assembly to increase success rates. A novel equal area amidst unequal bin numbers (EAUB) method is proposed for classifying the parts of the ball bearing assembly by considering the various tolerance r...

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Bibliographic Details
Main Authors: Siva Kumar Mahalingam, Lenin Nagarajan, Chandran Velu, Vignesh Kumar Dharmaraj, Sachin Salunkhe, Hussein Mohamed Abdelmoneam Hussein
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
selective assembly
success rate
EAUB method
evolutionary algorithm
MFO algorithm
Online Access:https://www.mdpi.com/2076-3417/12/17/8797

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https://www.mdpi.com/2076-3417/12/17/8797

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