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Samia Nefti-Meziani

by   -   January 9, 2014

Nefti-MezianiSamiaGuest talk in the ShanghAI Lectures, 2009-12-03

Among the evolutionary algorithms, Particle Swarm Optimization (PSO) represents an optimization method where individuals, called particles, collaborate as a swarm to reach a collective goal. However, the usual logical decision processes used in the literature to model individual agent behaviour are generally found to be inadequate when the phenomena of uncertainty and risk are factored into the evolutionary process; and also incapable of fully emulating actual human decision-making behaviours under risk and uncertainty.



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