—We consider constrained minimization of a sum of convex functions over a convex and compact set, when each component function is known only to a specific agent in a timevarying...
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
Abstract— We consider a distributed multi-agent network system where the goal is to minimize an objective function that can be written as the sum of component functions, each of ...
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...