Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Multi-Agent System for Complex Scheduling Problems   Complex scheduling problems require a large amount computation power and
innovative solution methods. The objective of this paper is the conception and
implementation of a multi-agent system that is applicable in various problem
domains. Independent specialized agents handle small tasks, to reach a
superordinate target. Effective coordination is therefore required to achieve
productive cooperation. Role models and distributed artificial intelligence are
employed to tackle the resulting challenges. We simulate a NP-hard scheduling
problem to demonstrate the validity of our approach. In addition to the general
agent based framework we propose new simulation-based optimization heuristics
to given scheduling problems. Two of the described optimization algorithms are
implemented using agents. This paper highlights the advantages of the
agent-based approach, like the reduction in layout complexity, improved control
of complicated systems, and extendability.

31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an