A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
Although preliminary analysis frameworks point out the performance speed-ups achievable by on-chip networks with respect to state-of-the-art interconnects, the area concern remain...
Alberto Ferrante, Simone Medardoni, Davide Bertozz...
The Time Warp protocol is considered to be an effective synchronization mechanism for parallel discrete event simulation (PDES). However, it is widely recognized that it suffers o...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Abstract-- Lifetime maximization is an important optimization problem specific to Wireless Sensor Networks (WSNs) since they operate with limited energy resources which are therefo...