Name: | Description: | Size: | Format: | |
---|---|---|---|---|
126.01 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Scheduling resolution requires the intervention of highly skilled human problemsolvers.
This is a very hard and challenging domain because current systems are becoming
more and more complex, distributed, interconnected and subject to rapidly changing.
A natural Autonomic Computing evolution in relation to Current Computing is to provide
systems with Self-Managing ability with a minimum human interference. This paper
addresses the resolution of complex scheduling problems using cooperative negotiation. A Multi-Agent Autonomic and Meta-heuristics based framework with self-configuring capabilities is proposed.
Description
Keywords
Intelligent decision support system Distributed agent system Meta-heuristics Computational intelligence Dynamic scheduling
Citation
Publisher
Instituto Politécnico do Porto. Instituto Superior de Engenharia do Porto