When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
In this paper we present a novel hybrid algorithm, in which ideas from the genetic algorithm and the GRASP metaheuristic are cooperatively used and intertwined to dynamically adjus...
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Creating good adaptation policies is critical to building complex autonomic systems since it is such policies that define the system configuration used in any given situation. W...
Gueyoung Jung, Kaustubh R. Joshi, Matti A. Hiltune...
Recent attention on correlated multi-input multi-output systems has centered around the case of imperfect channel or statistical information at the transmitter. The focus of this ...
Vasanthan Raghavan, Ada S. Y. Poon, Venugopal V. V...