We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
In a liberalized electricity market, the use of phase shifting transformers or other power flow controlling devices allows the transmission system operator to utilize the availabl...
Jody Verboomen, Dirk Van Hertem, Ronnie Belmans, P...
This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to dynamically ensure the performance for the desired level of security. The adapti...
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
— We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot’s cognition to its environment is ...