Abstract-- This paper presents a framework for generating time-optimal velocity profiles for a group of pathconstrained vehicle robots that have fixed and known initial and goal lo...
Abstract--With the development of high-performance computing, I/O issues have become the bottleneck for many massively parallel applications. This paper investigates scalable paral...
Jing Fu, Ning Liu, Onkar Sahni, Kenneth E. Jansen,...
Abstract—In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with ...
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
Abstract: With today’s available computer power, free energy calculations from equilibrium molecular dynamics simulations “via counting” become feasible for an increasing num...