ActoDatA (Actor Data Analysis) is an actor-based software library for the development of
distributed data mining applications. It provides a multi-agent architecture with a set of …

The development of scalable and efficient applications requires the use of appropriate
models and software infrastructures. This paper presents a software framework that enables …

While existing grid environments cater to specific needs of a particular user community, we
need to go beyond them and consider general-purpose large-scale distributed systems …

Continual Learning enables to learn a variable number of tasks sequentially without
forgetting knowledge obtained from the past. Catastrophic forgetting usually occurs in neural …

This paper presents a multi‐agent system called GAIN (Grid Agent Infrastructure), which can
be used for the development of flexible agent‐based Grid systems. The system supports …

Management hierarchy interaction of local controllers is mandatory at the second and third
levels of microgrid control. Instead of using a central processor as a traditional approach …

ActoDeS is a software framework for the development of large concurrent and distributed
systems. This software framework takes advantage of the actor model and of an its …

Agent-based modeling and simulation techniques are widely and successfully used for
analyzing complex and emergent phenomena in many research and application areas …

Generation, distribution, consumption-these are the topics of last ten years. This work deals
with the smart grid operation, especially for intelligent distribution of energy in power …

A new estimation of distribution algorithm (EDA) based on Gaussian mixture model (GMM) is
proposed, in which boosting, an efficient ensemble learning method, is adopted to estimate …