The Flowty core solver
Flowty core solver uses mixed integer programming to solve network optimisation problems.
Flowty core solver uses mixed integer programming to solve network optimisation problems.
Combining graph-based modelling with column generation enables scalable formulations for problems involving flows, paths, and resource constraints.
Constraints are modelled directly on graph elements and traditional integer variables, allowing for expressive yet compact models.
It is extremely computational and memory efficient compared to traditional linear programming methods.
Combining graph-based modelling with column generation enables scalable formulations for problems involving flows, paths, and resource constraints.
Constraints are modelled directly on graph elements and traditional integer variables, allowing for expressive yet compact models.
It is extremely computational and memory efficient compared to traditional linear programming methods.
High computational performance
High memory efficiency
The research behind
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.
Research-driven architecture
Built on cutting-edge research, Flowty’s solver applies advanced techniques like column generation and branch-and-price specifically tailored to complex multi-commodity flow problems.
Real-world performance
This foundation enables Flowty to consistently outperform general-purpose solvers on large-scale, real-world network optimization tasks.
The research behind
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.
Research-driven architecture
Built on cutting-edge research, Flowty’s solver applies advanced techniques like column generation and branch-and-price specifically tailored to complex multi-commodity flow problems.
Real-world performance
This foundation enables Flowty to consistently outperform general-purpose solvers on large-scale, real-world network optimization tasks.
Interested in acquiring the Flowty IP?
Let’s talk. We’re currently exploring acquisition offers for our IP.
The research behind
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.
Research-driven architecture
Built on cutting-edge research, Flowty’s solver applies advanced techniques like column generation and branch-and-price specifically tailored to complex multi-commodity flow problems.
Real-world performance
This foundation enables Flowty to consistently outperform general-purpose solvers on large-scale, real-world network optimization tasks.
Interested in acquiring the Flowty IP?
Let’s talk. We’re currently exploring acquisition offers for our IP.
Interested in acquiring the Flowty IP?
Let’s talk. We’re currently exploring acquisition offers for our IP.