In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
Abstract— In this paper we analyse a feedback system consisting of a finite buffer fluid queue and a responsive source. The source alternates between silence periods and active...
Load balancing is a key concern when developing parallel and distributed computing applications. The emergence of computational grids extends this problem, where issues of cross-d...
Junwei Cao, Daniel P. Spooner, Stephen A. Jarvis, ...
— Being able to test the intrinsic performance of a device under test (DUT) has always been the main goal of a test engineer. Achieving this goal is becoming increasingly diffic...