In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
— Integrated circuits have evolved to a stage where interconnections significantly limit their performance and functional complexity. We introduce a set of tools to perform high...
Rui Martins, Wolfgang Pyka, Rainer Sabelka, Siegfr...
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
Abstract—This study considers an orthogonal frequencydivision multiple-access (OFDMA)-based multi-user two-way relay network where multiple mobile stations (MSs) communicate with...