Research on optimization method for module partition considering upgrade risk

Qin Zhang; Jinlong Pan; Hu Chen; Zhaoxi Hong; Yixiong Feng

doi:10.1117/12.2628808

7 March 2022 Research on optimization method for module partition considering upgrade risk

Qin Zhang, Jinlong Pan, Hu Chen, Zhaoxi Hong, Yixiong Feng

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121671T (2022) https://doi.org/10.1117/12.2628808
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

Affected by uncertain factors such as equipment automation transformation and function upgrading, mechanical products may face varying degrees of upgrade risk. In order to solve the problems about high complexity of product upgrading, the optimization method for module partition considering upgrade risk is proposed. Firstly, the basic principles for module partition are analyzed to build fuzzy correlation matrix. With the goal of optimizing module partition quality and minimizing the upgrade complexity, the improved artificial bee colony algorithm is proposed to solve the model. Chaotic dynamic weight factor is introduced to enhance convergence speed of the algorithm. The set of non-dominated solutions for module partition is obtained. Finally, the module partition of an elevator is given to verify the effectiveness of this work.

Citation Download Citation

Qin Zhang, Jinlong Pan, Hu Chen, Zhaoxi Hong, and Yixiong Feng "Research on optimization method for module partition considering upgrade risk", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121671T (7 March 2022); https://doi.org/10.1117/12.2628808

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