— It has been known since the early 1990s that backpressure-type algorithms for communication networks (such as the Max-Weight algorithm) can be used to approximately solve stati...
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
We focus on data gathering problems in energy constrained networked sensor systems. The system operates in rounds where a subset of the sensors generate a certain number of data p...
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Algorithm animation has been applied to a huge variety of algorithms, and has been found to be of enormous benefit in assisting with their comprehension. However, the radical natu...