Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
Current technological developments and application-driven demands are bringing us closer to the realization of autonomous multirobot systems performing increasingly complex missio...
Kinetic models for biochemical systems often comprise a large amount of coupled differential equations with species concentrations varying on different time scales. In this paper w...
We present the definition of diverse models of physical systems using the Cell-DEVS paradigm. Cell-DEVS is an extension of the DEVS formalism that allows the definition of cellula...
Javier Ameghino, Alejandro Troccoli, Gabriel A. Wa...
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...