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Advisor(s)
Abstract(s)
This paper presents a negotiation mechanism for
Dynamic Scheduling based on Swarm Intelligence (SI). Under the
new negotiation mechanism, agents must compete to obtain a
global schedule. SI is the general term for several computational
techniques which use ideas and get inspiration from the social
behaviors of insects and other animals. This work is concerned
with negotiation, the process through which multiple selfinterested
agents can reach agreement over the exchange of
operations on competitive resources.
Description
Keywords
Negotiation in multi-agent systems Competition Swarm intelligence Self-organization Nature inspired optimization
