Add to ORKGDynamic Programming (DP) is a popular tool to solve combinatorial problems. This paradigm is ubiquitous and at the heart of many of the classic algorithms taught to every computer science student around the world. For instance, Dijkstra's shortest path algorithm is a case of DP. Still, when DP is used to solve NP-hard problems, it faces one major pitfall: the algorithm might not only require an exponential time but an exponential amount of memory as well -- which severely hampers its applicability. In 2016, a novel method combining DP with Decision Diagrams (DD) in a branch-and-bound framework was proposed. The strength of that approach stems from the ease of modeling leveraged from DP and the memory efficiency of the DD data structure. The...
Decision diagrams are an increasingly important tool in cutting-edge solvers for discrete optimizati...
The use of decision diagrams has recently emerged as a viable general solution approach for solving ...
The use of decision diagrams has recently emerged as a viable general solution approach for solving ...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
<p>Decision diagrams are compact graphical representations of Boolean functions originally introduce...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Decision diagrams are compact graphical representations of Boolean functions originally introduced f...
Decision diagrams are compact graphical representations of Boolean functions originally introduced f...
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization pro...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...
Local search is a popular technique to solve combinatorial optimization problems efficiently. To esc...
This paper presents ddo, a generic and efficient library to solve constraint optimization problems w...
Decision diagrams are an increasingly important tool in cutting-edge solvers for discrete optimizati...
The use of decision diagrams has recently emerged as a viable general solution approach for solving ...
The use of decision diagrams has recently emerged as a viable general solution approach for solving ...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
<p>Decision diagrams are compact graphical representations of Boolean functions originally introduce...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
Decision diagrams are compact graphical representations of Boolean functions originally introduced f...
Decision diagrams are compact graphical representations of Boolean functions originally introduced f...
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization pro...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...
Local search is a popular technique to solve combinatorial optimization problems efficiently. To esc...
This paper presents ddo, a generic and efficient library to solve constraint optimization problems w...
Decision diagrams are an increasingly important tool in cutting-edge solvers for discrete optimizati...
The use of decision diagrams has recently emerged as a viable general solution approach for solving ...
The use of decision diagrams has recently emerged as a viable general solution approach for solving ...