Model-driven engineering (MDE) provides tools and methods for the manipulation of formal
models. In this letter, we leverage MDE for the transformation of production system models …

Industry 4.0 production systems must support flexibility in various dimensions, such as for
the products to be produced, for the production processes to be applied, and for the …

Balancing exploration and exploitation has been an important problem in both adversarial
games and automated planning. While it has been extensively analyzed in the Multi-Armed …

Previous work introduced the concept of progress states. After expanding a progress state, a
greedy best-first search (GBFS) will only expand states with lower heuristic values. Current …

While parallelization of A* is fairly well-understood, parallelization of GBFS has been much
less understood. Recent work has proposed PUHF, a parallel GBFS which restricts search to …

While learning a heuristic function for forward search algorithms with modern machine
learning techniques has been gaining interest in recent years, there has been little …

Parallelization of Greedy Best First Search (GBFS) has been difficult because
straightforward parallelization can result in search behavior which differs significantly from …

State space search solves navigation tasks and many other real world problems. Heuristic
search, especially greedy best-first search, is one of the most successful algorithms for state …

Stochastic exploration has been shown to be an effective way to mitigate the negative
impact that heuristic local minima and plateaus can have on Greedy Best First Search …

Suboptimal search algorithms can often solve much larger problems than optimal search
algorithms, and thus have broad practical use. This paper returns to early algorithms like …