Using multiple genetic operators to reduce premature convergence in genetic assembly planning

Author:

Smith Shana Shiang-Fong

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A knowledge graph–based structured representation of assembly process planning combined with deep learning;The International Journal of Advanced Manufacturing Technology;2024-06-04

2. Decreasing Number of Geometric Feasibility Checks in Automatic Assembly Planning: A Review;2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM);2023-06-29

3. Integrated Design for Assembly Approach Using Ant Colony Optimization Algorithm for Optimal Assembly Sequence Planning;Advances in Intelligent Systems and Computing;2018-07-04

4. Assembly sequence planning using soft computing methods: A review;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2018-03-29

5. Hybridized genetic-immune based strategy to obtain optimal feasible assembly sequences;International Journal of Industrial Engineering Computations;2017

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