Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Task scheduling is an integrated component of computing. With the emergence of grid and ubiquitous computing, newer challenges have arisen in task scheduling. Unlike traditional p...
In recent years much attention has been paid to networkbased, distributed environments like text-based MUDs and MOOs for supporting collaborative work. Such environments offer a s...
This paper addresses the problem of tracking multiple targets using a network of communicating robots and stationary sensors. We introduce a Region-based Approach which controls r...
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...