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Meta-heuristics self-configuration for scheduling

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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.

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Intelligent decision support system Distributed agent system Meta-heuristics Computational intelligence Dynamic scheduling

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Instituto Politécnico do Porto. Instituto Superior de Engenharia do Porto

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