Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Novel ensemble collaboration method for dynamic scheduling problems   Dynamic scheduling problems are important optimisation problems with many
real-world applications. Since in dynamic scheduling not all information is
available at the start, such problems are usually solved by dispatching rules
(DRs), which create the schedule as the system executes. Recently, DRs have
been successfully developed using genetic programming. However, a single DR may
not efficiently solve different problem instances. Therefore, much research has
focused on using DRs collaboratively by forming ensembles. In this paper, a
novel ensemble collaboration method for dynamic scheduling is proposed. In this
method, DRs are applied independently at each decision point to create a
simulation of the schedule for all currently released jobs. Based on these
simulations, it is determined which DR makes the best decision and that
decision is applied. The results show that the ensembles easily outperform
individual DRs for different ensemble sizes. Moreover, the results suggest that
it is relatively easy to create good ensembles from a set of independently
evolved DRs.

25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin