One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Software architectures evolve as the result of numerous, interrelated design decisions. At any point in an architecture’s evolution, current decisions can critically affect alte...
Jason E. Robbins, David M. Hilbert, David F. Redmi...
In this paper we present our approach of using gamelike techniques for designing wearable computing solutions for the Paris Fire Brigade, consisting of namely a board game and a v...
Network topology design problems find application in several real life scenarios. However, most designs in the past either optimize for a single criterion like delay or assume sim...
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...