Title :
Negotiation mechanism for self-organized scheduling system
Author :
Madureira, Ana ; Sousa, Nelson ; Pereira, Ivo
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Group, Inst. of Eng. - IPP, Porto, Portugal
Abstract :
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 self-interested agents can reach agreement over the exchange of operations on competitive resources.
Keywords :
behavioural sciences computing; dynamic scheduling; multi-agent systems; negotiation support systems; self-adjusting systems; social sciences computing; SI; animals; dynamic scheduling; insects; negotiation mechanism; self-organized system; social behaviors; swarm intelligence; Dynamic scheduling; Job shop scheduling; Processor scheduling; Protocols; Schedules; Silicon; Competition; Nature Inspired Optimization; Negotiation in Multi-Agent Systems; Self-organization; Swarm Intelligence;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
Conference_Location :
Salamanca
Print_ISBN :
978-1-4577-1122-0
DOI :
10.1109/NaBIC.2011.6089610