Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
We address a large scale waste collection vehicle routing problem with time windows (VRPTW) complicated by multiple disposal trips and drivers lunch breaks. A fitness search spac...
Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ven...
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
The paper1 presents and compares various unicast nonblocking architectures to be used into space-domain photonic switching networks. All the analyzed architectures have been evalu...
Luigi Savastano, Guido Maier, Mario Martinelli, Ac...