Selection of Part’s Feature Processing Method Based on Genetic Algorithm

Xu, Yanwei; Pan, Anbang; Xie, Tancheng

doi:10.1007/978-3-319-65978-7_35

Yanwei Xu^17,18,
Anbang Pan¹⁸ &
Tancheng Xie¹⁸

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 690))

Included in the following conference series:

International Conference on Mechatronics and Intelligent Robotics

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Abstract

Genetic algorithm (GA) was applied to the decision-making of process and the optimal or near-operation choices for the production requirements were obtained. Firstly, according to technologic knowledge and components’ designing requirement, every process method is expressed as a gene chromosome. Secondly, a new sort of fitness function was studied and defined. The conception named nearness and the main deviations were defined, and corresponding arithmetic was studied. Then, it introduced every step of process method decision on GA by examples. When Genetic algorithm (GA) was applied to the decision-making of process, it can overcome errors of decision-making from common process, thereby optimize process planning and improve intelligence of decision-making.

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References

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (51305127), the youth backbone teachers training program (2016GGJS-057) and scientific research key project fund of the Education Department Henan Province of China (14A460018).

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Authors and Affiliations

School of Mechanical Engineering, Tianjin University, Tianjin, 300072, China
Yanwei Xu
School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, 471023, China
Yanwei Xu, Anbang Pan & Tancheng Xie

Authors

Yanwei Xu
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Anbang Pan
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Tancheng Xie
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Corresponding author

Correspondence to Yanwei Xu .

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Editors and Affiliations

Shenyang Jianzhu University , Shenyang, Liaoning, China
Feng Qiao
SOA University , Bhubaneswar, Odisha, India
Srikanta Patnaik
Montclair State University , Montclair, New Jersey, USA
John Wang

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Xu, Y., Pan, A., Xie, T. (2018). Selection of Part’s Feature Processing Method Based on Genetic Algorithm. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-319-65978-7_35

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DOI: https://doi.org/10.1007/978-3-319-65978-7_35
Published: 12 November 2017
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65977-0
Online ISBN: 978-3-319-65978-7
eBook Packages: EngineeringEngineering (R0)

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