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GECCO
2008
Springer

Self-managing agents for dynamic scheduling in manufacturing

9 years 28 days ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. 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 (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. Categories and Subject Descriptors I.2 [Artificial Intelligence]: I.2.8 Problem Solving, Control Methods, and Search – Scheduling. I.2.11 Distributed Artificial Intelligence - Multiagent systems. General Terms Algorithms, Design. Keywords Autonomic Computing, Multi-Agent Systems, Bio-Inspired Techniques, Dynamic Scheduling
Ana Madureira, Filipe Santos, Ivo Pereira
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2008
Where GECCO
Authors Ana Madureira, Filipe Santos, Ivo Pereira
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