Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather in...
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
Scheduling plays a central role in the behavioral synthesis process, which automatically compiles high-level specifications into optimized hardware implementations. However, most ...