Add to ORKGDecision diagrams are an increasingly important tool in cutting-edge solvers for discrete optimization. However, the field of decision diagrams is relatively new, and is still incorporating the library of techniques that conventional solvers have had decades to build. We drew inspiration from the warm-start technique used in conventional solvers to address one of the major challenges faced by decision diagram based methods. Decision diagrams become more useful the wider they are allowed to be, but also become more costly to generate, especially with large numbers of variables. We present a method of peeling off a sub-graph of previously constructed diagrams and using it as the initial diagram for subsequent iterations that we call peel-and-...
Mixed-integer programming (MIP) is often a practitioner’s primary approach when tackling hard discre...
<p>Mixed-integer programming (MIP) is often a practitioner’s primary approach when tackling hard dis...
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization pro...
Decision diagrams are an increasingly important tool in cutting-edge solvers for discrete optimizati...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
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...
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...
<p>Decision diagrams are compact graphical representations of Boolean functions originally introduce...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
Decision diagrams are compact graphical representations of Boolean functions originally introduced f...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
Finding tight bounds on the optimal solution is a critical element of practical solution methods for...
Mixed-integer programming (MIP) is often a practitioner’s primary approach when tackling hard discre...
<p>Mixed-integer programming (MIP) is often a practitioner’s primary approach when tackling hard dis...
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization pro...
Decision diagrams are an increasingly important tool in cutting-edge solvers for discrete optimizati...
We propose a general branch-and-bound algorithm for discrete optimization in which binary decision d...
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...
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...
<p>Decision diagrams are compact graphical representations of Boolean functions originally introduce...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
Decision diagrams are compact graphical representations of Boolean functions originally introduced f...
Discrete optimization problems expressible as dynamic programs can be solved by branch-and-bound wit...
Finding tight bounds on the optimal solution is a critical element of practical solution methods for...
Mixed-integer programming (MIP) is often a practitioner’s primary approach when tackling hard discre...
<p>Mixed-integer programming (MIP) is often a practitioner’s primary approach when tackling hard dis...
Decision diagrams (DDs) are graphical structures that can be used to solve discrete optimization pro...