A genetic algorithm based approach to search optimal assembly sequences for autonomous robotic assembly

A Genetic Algorithm (GA) based approach is proposed in this paper to search optimal assembly sequences in a robotic autonomous assembly task. In particular, the chromosome definition, the operations of crossover, copy and mutation and a specific fitness table are presented. Some simulation results a...

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Bibliographic Details
Main Authors: Qianli Zhao, Jiayi Mu, Feiling Yang, Ting Li, Ying Wang
Format: Conference Proceeding
Language:English
Subjects:
Assembly
Autonomous Assembly
Biological cells
Genetic algorithms
History
Robotic assembly
Robots
Simulation
Online Access:Request full text
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Description
Summary:A Genetic Algorithm (GA) based approach is proposed in this paper to search optimal assembly sequences in a robotic autonomous assembly task. In particular, the chromosome definition, the operations of crossover, copy and mutation and a specific fitness table are presented. Some simulation results are employed to validate the effectiveness of the proposed approach. The simulation results also indicate that the modified GA algorithm proposed in this paper has better performance than the traditional GA algorithm.
ISSN:1091-0050
1558-058X
DOI:10.1109/SECON.2014.6950735