An uncertain multi-objective programming model for machine scheduling problem

This paper discusses a parallel machine scheduling problem in which the processing times of jobs and the release dates are independent uncertain variables with known uncertainty distributions. An uncertain programming model with multiple objectives is obtained, whose first objective is to minimize t...

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Veröffentlicht in:	International journal of machine learning and cybernetics Jg. 8; H. 5; S. 1493 - 1500
Hauptverfasser:	Ning, Yufu, Chen, Xiumei, Wang, Zhiyong, Li, Xiangying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2017 Springer Nature B.V
Schlagworte:	Artificial Intelligence Completion time Complex Systems Computational Intelligence Control Engineering Fuzzy sets Genetic algorithms Independent variables Mathematical programming Mechatronics Multiple objective analysis Original Article Pattern Recognition Random variables Release dates Robotics Scheduling Set theory Subject specialists Systems Biology Machine scheduling problem Uncertain variable Uncertain programming Genetic algorithm
ISSN:	1868-8071, 1868-808X
Online-Zugang:	Volltext
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