Improved genetic algorithm for 3D printing multi-objective optimization task scheduling

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.

Bibliographic Details
Main Authors:	Zhao Haobin, Yu Hongbin
Format:	Article
Language:	English
Published:	EDP Sciences 2021-01-01
Series:	MATEC Web of Conferences
Online Access:	https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_02020.pdf

id	doaj-f8cf4fc189c043ff8c5155e90da96f67
record_format	Article
spelling	doaj-f8cf4fc189c043ff8c5155e90da96f672021-02-18T10:45:17ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013360202010.1051/matecconf/202133602020matecconf_cscns20_02020Improved genetic algorithm for 3D printing multi-objective optimization task schedulingZhao Haobin0Yu Hongbin1Tinangong UniversityTinangong UniversityFor 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.https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_02020.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Zhao Haobin Yu Hongbin
spellingShingle	Zhao Haobin Yu Hongbin Improved genetic algorithm for 3D printing multi-objective optimization task scheduling MATEC Web of Conferences
author_facet	Zhao Haobin Yu Hongbin
author_sort	Zhao Haobin
title	Improved genetic algorithm for 3D printing multi-objective optimization task scheduling
title_short	Improved genetic algorithm for 3D printing multi-objective optimization task scheduling
title_full	Improved genetic algorithm for 3D printing multi-objective optimization task scheduling
title_fullStr	Improved genetic algorithm for 3D printing multi-objective optimization task scheduling
title_full_unstemmed	Improved genetic algorithm for 3D printing multi-objective optimization task scheduling
title_sort	improved genetic algorithm for 3d printing multi-objective optimization task scheduling
publisher	EDP Sciences
series	MATEC Web of Conferences
issn	2261-236X
publishDate	2021-01-01
description	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.
url	https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_02020.pdf
work_keys_str_mv	AT zhaohaobin improvedgeneticalgorithmfor3dprintingmultiobjectiveoptimizationtaskscheduling AT yuhongbin improvedgeneticalgorithmfor3dprintingmultiobjectiveoptimizationtaskscheduling
_version_	1724263160887640064

Improved genetic algorithm for 3D printing multi-objective optimization task scheduling

Similar Items