We study a class of generalized bundle methods for which the stabilizing term can be any closed convex function satisfying certain properties. This setting covers several algorithm...
Abstract–A new evolutionary programming algorithm (NEP) using the non-uniform mutation operator instead of Gaussian or Cauchy mutation operators is proposed. NEP has the merits o...
We propose distributed algorithms to automatically deploy a group of mobile robots to partition and provide coverage of a non-convex environment. To handle arbitrary nonconvex envi...
Joseph W. Durham, Ruggero Carli, Paolo Frasca, Fra...
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
We develop and analyze an algorithm to maximize the throughput of a serial kanbanbased manufacturing system with arbitrary arrival and service process distributions by adjusting t...