We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
Abstract. Exploration algorithms are relevant to the industrial practice of gentest cases from an abstract state machine whose runs define the predicted behavior of the software s...
Heterogeneous multiprocessors are emerging as the dominant implementation approach to embedded multiprocessor systems. In addition to having processing elements suited to the targ...
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Ant colony optimization (ACO) is a well known metaheuristic. In the literature it has been used for tackling many optimization problems. Often, ACO is hybridized with a local sear...