— In this paper, we present a novel framework for the automated generation of Network-on-Chips (NoC) architectures, that enables architecture exploration and optimization. The au...
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
The steadily increasing complexity of embedded systems requires comprehensive methodoloat support the design process from the highest possible abstraction level. In most of the cu...
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...
Karnig Derderian, Mercedes G. Merayo, Robert M. Hi...