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Advisor(s)
Abstract(s)
A novel approach to scheduling resolution by
combining Autonomic Computing (AC), Multi-Agent Systems (MAS), Case-based Reasoning (CBR), and Bio-Inspired Optimization Techniques (BIT) will be described. AC has emerged as a paradigm aiming at incorporating applications with a
management structure similar to the central nervous system.
The main intentions are to improve resource utilization and
service quality. In this paper we envisage the use of MAS
paradigm for supporting dynamic and distributed scheduling in
Manufacturing Systems with AC properties, in order to reduce
the complexity of managing manufacturing systems and human
interference. The proposed CBR based Intelligent Scheduling
System was evaluated under different dynamic manufacturing
scenarios.
Description
Keywords
Multi-agent systems Autonomic computing Case-based reasoning Bio-inspired optimization techniques