Use case
A freight origin-destination synthesis model with mode choice
Find out how Artelys Knitro modeled and solved a non-linear, non-convex model to enable logistics managers to efficiently evaluate optimal multimodal freight flow scenarios.

The freight system is a major pillar of a country’s economy, but it is also one of the major contributors of emissions and energy consumption. A sustainable freight system is therefore essential to tackle global climate change. Due to a lack of available data, there is an urgent need to develop efficient modeling techniques to evaluate freight choices (truck or rail).

In order to deal with this issue, the authors have combined various models with the goal of estimating freight flows, vehicle freight trips by truck and rail using secondary data. The resulting representation is based on a complex nonconvex model.

With its multi-start algorithm and interior point method, Artelys Knitro provides transportation planners and policymakers with an efficient and fast way to analyze the outcomes of potential freight policies. This has a huge potential in assessing the impacts of freight policies and in helping transportation planners to achieve sustainable freight goals.

Start with a tutorial!

 

You’re not familiar with nonlinear optimization? This tutorial will present some examples of nonlinear problems for various applications. You will discover nonlinear programming methods using the Artelys Knitro solver in a Python notebook, through different examples.

Free trial

 

Get your trial license to test Artelys Knitro’s performances on your own mathematical optimization problem. The trial package includes free support and maintenance. You can have access to Artelys Knitro for free with a 1-month unlimited version or a 6-month limited version.

Artelys Knitro has unmatched performance

Best Nonlinear Solver

Artelys Knitro has been ranked every year by public benchmarks consistently showing Artelys Knitro finds both feasible and proven optimal solutions faster than competing solvers.

Technical support

The Artelys technical support team comprises Artelys’consultants (PhD-level) who are used to solving the most difficult problems and deploying enterprise-wide optimization solutions. They can advise on algorithmic or software features that may result in enhanced performance in your usage of Artelys Knitro.

Updates and new features

The development team works continuously to provide two releases of Artelys Knitro every year. Based on feedback, we always improve our solver to meet users’ requirements and need to solve larger models faster.

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