Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristi...
We present a new algorithm to generate plausible motions for high-DOF human-like articulated figures in constrained environments with multiple obstacles. Our approach is general ...
Jia Pan, Liangjun Zhang, Ming C. Lin, Dinesh Manoc...
We consider the centralized, anchor-free sensor localization problem. We consider the case where the sensor network reports range information and the case where in addition to the...
Alon Efrat, David Forrester, Anand Iyer, Stephen G...
The geographic profiling problem is to create an operationally useful estimate of the location of the home base of a serial criminal from the known locations of the offense sites....
Variable selection problems are typically addressed under a penalized optimization framework. Nonconvex penalties such as the minimax concave plus (MCP) and smoothly clipped absol...