The research behind our technology
Flowty's foundational research has tackled some of the most difficult variants of multi-commodity flow problems so complex they are typically out of reach for general-purpose solvers.
Path-based multi-commodity flow solver
The Flowty multi-commodity flow solver is grounded in deep academic insight into the structure and complexity of multi-commodity flow problems.
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A proven legacy in column generation performance
Column generation has long been the dominant technique for solving complex network optimisation problems. At Flowty, our team has helped define its modern evolution, combining theoretical depth with record-breaking practical performance.
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Flowty's highly parallel pull labelling algorithm for the resource constrained shortest path problem
The resource constrained shortest path problem (RCSPP) is a key subproblem in many decomposition approaches. This work presents a parallel pull labelling algorithm that improves scalability and parallelisation significantly.
Path-based multi-commodity flow solver
The Flowty multi-commodity flow solver is grounded in deep academic insight into the structure and complexity of multi-commodity flow problems.
Read more
Read more
A proven legacy in column generation performance
Column generation has long been the dominant technique for solving complex network optimisation problems. At Flowty, our team has helped define its modern evolution, combining theoretical depth with record-breaking practical performance.
Read more
Read more
Flowty's highly parallel pull labelling algorithm for the resource constrained shortest path problem
The resource constrained shortest path problem (RCSPP) is a key subproblem in many decomposition approaches. This work presents a parallel pull labelling algorithm that improves scalability and parallelisation significantly.
Flowty's highly parallel pull labelling algorithm for the resource constrained shortest path problem
The resource constrained shortest path problem (RCSPP) is a key subproblem in many decomposition approaches. This work presents a parallel pull labelling algorithm that improves scalability and parallelisation significantly.
Flowty at scale: Solving multi-commodity flow instances with millions of commodities
Flowty's path-based solver can solve now solve multi-commodity flow instance with over one million commodities.
Path-based multi-commodity flow solver
The Flowty multi-commodity flow solver is grounded in deep academic insight into the structure and complexity of multi-commodity flow problems.
Read more
A proven legacy in column generation performance
Column generation has long been the dominant technique for solving complex network optimisation problems. At Flowty, our team has helped define its modern evolution, combining theoretical depth with record-breaking practical performance.
Read more
