MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||4|
|Section||Industrial Design and Engineering Technology|
|Published online||15 February 2021|
Improved genetic algorithm for 3D printing multi-objective optimization task scheduling
Tinangong University, Tianjin 300387, China
* Corresponding author: email@example.com
For the 3D printing multi-objective optimization task scheduling problem, the problem model is established from the three aspects of related problem definition, constraint conditions, and objective function, which lays the foundation for subsequent research and solution.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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