This paper proposes a genetic algorithm to determine the optimal assembly sequence for a robotic autonomous assembly task. The coding rule of chromosomes, the selection, crossover and mutation operations are presented. In order to avoid invalid chromosomes, a modified crossover operation is suggested. In addition, a specific fitness table is created to evaluate a random assembly sequence. Some simulation results are employed to validate the effectiveness and accuracy of the proposed approach.
Determining Optimal Assembly Sequences for a Robotic Autonomous Assembly Task
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Guo, B, Zhang, T, Wang, X, & Wang, Y. "Determining Optimal Assembly Sequences for a Robotic Autonomous Assembly Task." Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition. Volume 4A: Dynamics, Vibration and Control. San Diego, California, USA. November 15–21, 2013. V04AT04A031. ASME. https://doi.org/10.1115/IMECE2013-65461
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