Computational complexity of the single processor makespan minimization problem with release dates and job-dependent learning

2014 ◽  
Vol 65 (8) ◽  
pp. 1170-1176 ◽  
Author(s):  
R Rudek
2006 ◽  
Vol 175 (2) ◽  
pp. 751-768 ◽  
Author(s):  
T.C. Edwin Cheng ◽  
Mikhail Y. Kovalyov ◽  
Natalia V. Shakhlevich

2009 ◽  
Vol 56 (4) ◽  
pp. 1301-1308 ◽  
Author(s):  
Adam Janiak ◽  
Władysław Adam Janiak ◽  
Radosław Rudek ◽  
Agnieszka Wielgus

2016 ◽  
Vol 27 (02) ◽  
pp. 161-185
Author(s):  
Markus Holzer ◽  
Sebastian Jakobi

We compare deterministic finite automata (DFAs) and biautomata under the following two aspects: structural similarities between minimal and hyper-minimal automata, and computational complexity of the minimization and hyper-minimization problem. Concerning classical minimality, the known results such as isomorphism between minimal DFAs, and NL-completeness of the DFA minimization problem carry over to the biautomaton case. But surprisingly this is not the case for hyper-minimization: the similarity between almost-equivalent hyper-minimal biautomata is not as strong as it is between almost-equivalent hyper-minimal DFAs. Moreover, while hyper-minimization is NL-complete for DFAs, we prove that this problem turns out to be computationally intractable, i.e., NP-complete, for biautomata.


2014 ◽  
Vol 513-517 ◽  
pp. 2145-2148 ◽  
Author(s):  
Lu Liu ◽  
Yang Tao Xu ◽  
Na Yin ◽  
Ji Bo Wang

The paper deals with a single machine scheduling problem with deteriorating jobs and group technology (GT) assumption. By deteriorating jobs and group technology assumption, we mean that the group setup times and job processing times are both simple linear functions of their starting times. We show that the makespan minimization problem with release dates can be solved in polynomial time.


Sign in / Sign up

Export Citation Format

Share Document