This paper describes the foundations and algorithms of a new probabilistic roadmap (PRM) planner that is: (1) singlequery –i.e., it does not pre-compute a roadmap, but uses the ...
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
Liveness properties in concurrent systems are, informally, those properties that stipulate that something good eventually happens during execution. In order to prove that a given ...
Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annea...
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...