Abstract
New trends in multi-agent systems call for self-adaptation and high dynamics, hence the new model of open MAS or virtual organization of agents. This paper describes a system based on virtual organizations of agents that allows planning of tasks that minimizes the resources necessary for its accomplishment and obtains the maximum profits. For this purpose, a genetic algorithm , queuing theory, and CBR are used to obtain an efficient distribution. This mechanism is integrated in the PANGEA platform, an agent platform to develop open multi-agent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user.
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