In this paper we present a genetic algorithm-based heuristic for solving the set partitioning problem (SPP). The SPP is an important combinatorial optimisation problem used by man...
We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...
Abstract— The increasing use of electronics in the automotive and avionic domain has lead to dramatic improvements with respect to functionality, safety, and cost. However, with ...
Philipp Peti, Roman Obermaisser, Astrit Ademaj, He...
Based on a revision of the common task understanding in model-based approaches a formal meta model is proposed which allows more expressive task descriptions. A task is considered ...