While numerous power optimization techniques have been at all levels of design process abstractions for electronic components, until now, power minimization in mixed mechanical-el...
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
In this paper, we describe several experiments designed to characterize jitter in an actual automotive application designed using FlexCAN, a CAN based communication architecture. ...
Scheduling is one of the most successful application areas of constraint programming mainly thanks to special global constraints designed to model resource restrictions. Among thes...
Many real-life scheduling, routing and location problems can be formulated as combinatorial optimization problems whose goal is to find a linear layout of an input graph in such a ...