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Advisor(s)
Abstract(s)
Swarm Intelligence (SI) is a growing research field
of Artificial Intelligence (AI). SI is the general term for several
computational techniques which use ideas and get inspiration
from the social behaviours of insects and of other animals. This
paper presents hybridization and combination of different AI
approaches, like Bio-Inspired Techniques (BIT), Multi-Agent
systems (MAS) and Machine Learning Techniques (ML T). The
resulting system is applied to the problem of jobs scheduling to
machines on dynamic manufacturing environments.
Description
Keywords
Swarm intelligence Scheduling optimization Learning in multi-agent systems
