Abstract. Energy consumption is a major factor that limits the performance of sensor applications. Sensor nodes have varying sampling rates since they face continuously changing en...
Monte-Carlo evaluation consists in estimating a position by averaging the outcome of several random continuations, and can serve as an evaluation function at the leaves of a min-ma...
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
- We address the problem of transforming a behavioral specification so that synthesis of a testable implementation from the new specification requires significantly less area and ...
Optimized locally exhaustive test pattern generators based on linear sums promise a low overhead, but have an irregular structure. The paper presents a new algorithm able to compu...