—In this paper, the performance of dynamic multi-swarm particle swarm optimizer (DMS-PSO) on the set of benchmark functions provided for the CEC2008 Special Session on Large Scal...
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) and a sub-regional harmony search (SHS) are hybridized to obtain DMS-PSO-SHS. A Modified multi-trajectory ...
This work deals with the application of metaheuristics to the fuel consumption minimization problem of hybrid electric vehicles (HEV) considering exactly specified driving cycles....
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmen...