A Novel Multi-Agent System for Complex Scheduling Problems

• URL: http://arxiv.org/abs/2004.09312v1
• Date: Mon, 20 Apr 2020 14:04:58 GMT
• Title: A Novel Multi-Agent System for Complex Scheduling Problems
• Authors: Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose
• Abstract summary: This paper is the conception and implementation of a multi-agent system that is applicable in various problem domains. We simulate a NP-hard scheduling problem to demonstrate the validity of our approach. This paper highlights the advantages of the agent-based approach, like the reduction in layout complexity, improved control of complicated systems, and extendability.
• Score: 2.294014185517203
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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