Artelys Knitro is used to design membrane gas separation processes with minimal separation costs.

Find out how Artelys Knitro is being used in civil engineering research to optimise the planning of assembly sequences for frame structures, generating sequences that reduce intermediate deformations by 67%.

Discover how Knitro has enabled solving the challenge of optimizing radiation dose distribution by defining the ideal configuration of beams, thereby ensuring the effective targeting of cancer cells while preserving healthy tissues.

Discover how researchers use the nonlinear optimization solver Artelys Knitro to evaluate and select the most efficient refrigerants for heat pumps, in this article from the journal "Energy Technology".

The main challenge is to find the optimal balance between compression and tension constraints while minimizing system mass while ensuring structural integrity, resulting in reduced carbon impact structures.

Methods for predicting the properties of a molecular structure require finding the right trade-off between representation accuracy and computation time. Thanks to the application of Artelys Knitro to computer-aided molecular and process design, it is possible to represent all molecular structural information, enabling more accurate property predictions.

Read how the nonlinear optimization solver Artelys Knitro helps researchers in epidemiology analyze the evolution of Covid-19 pandemic in Germany, in this article from “PLOS ONE”.

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.

This study focuses on the correct dimensioning of infrastructures in the determination of charging rates and the resolution of a mixed-integer nonlinear programming. The aim is to evaluate the impact of the combined parameters of the problem, and to describe a modeling framework and its managerial implications for taxicabs selection and pricing contracts.

Find out how Artelys Knitro is used by control systems engineering researchers to select and design tests and sensors for optimal fault detection and isolation.

Discover how Artelys Knitro addresses the challenges associated with measuring the distinct impacts of Covid-19 on various countries and economic sectors, as well as analyzing the persistent inflation generated by the pandemic while handling complementarity constraints within complex quantitative economic models.

Find out how Artelys Knitro enables researchers to take into account numerous operational constraints related to harvesting in their modeling, in order to provide more equitable collaborative dispatching solutions.

Legged robots need to be able to plan their movements in real time in the event of environmental perturbations. Artelys Knitro enables trajectory optimisation problems to be solved so that the motion plan can be continuously updated.

See how Artelys Knitro helps researchers to understand the effects of climate change in reindeer husbandry in this article from “Ecological Applications”.

Discover how the use of Artelys Knitro led to significant savings in the occupation of storage space on a telecommunications platform.

The challenges are to ensure convergence to the global optimum and to reduce problems to its effective subspace. The aim is to solve reduced sub-problems and identify global optimum solutions for neural network applications, complex engineering and physical simulations.

This study addresses the challenges of production due to meteorological variability, as well as maintaining voltage within operating standards, with an aim to solve the Optimal Power Flow model and identify reactive power range requirements.

The inspection of onshore pipelines can be subject to many uncertainties. In order to guarantee an adequate level of safety, an inspection schedule is defined and Artelys Knitro is used to determine the probabilities of detection and false alarm.

Discover how Artelys Knitro has facilitated the dynamic trajectory of objects in complex environments by innovatively addressing challenges related to the violation of motion constraints and nonlinearities with its advanced algorithms in the article from “2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)”.

In the face of challenges such as the coordination problem in recharging electric vehicles and energy losses, the achieved results include the successful integration of electric vehicles without impacting the network and the effective coordinated distribution of these vehicles.

Researchers in the energy sector are using Artelys Knitro to meet the challenges of integrating renewable energy sources and ensuring power grid security. The results of their efforts include reduced computing time and the implementation of near-optimal control actions.

Read how researchers in fishery management use Artelys Knitro in this article from “Journal of Environmental Economics and Management”.

The design of multistage membrane gas separation processes is a complex problem involving a variety of factors. Artelys Knitro helps to solve this problem through the development of an optimal design configuration and minimum separation costs.

Discover how Artelys Knitro and AMPL quickly enabled the planning of radiotherapy for cancer patients by integrating dosage constraints! The approach involves prioritizing clinical objectives to maximize tumor coverage with radiation while minimizing the impact on healthy tissues.

In macroeconomics, the series of DGSE (dynamic stochastic general equilibrium) models, which attempt to explain the effects of economic policies on economic growth. Discover how Artelys Knitro solved this highly linear problem, reducing computation time by a factor of 5, while maintaining the same objective function value.

TotalEnergies owns and operates several refineries worldwide, producing millions of barrels per day by implementing complex refinery operations. In order to improve processes within its refineries, TotalEnergies wished to provide its planners with an operations management tool based on an optimization engine.

Orica delivers value by enabling mining operations to reduce the amount of waste they process, leading to increased sustainability, greater profitability and a smaller environmental footprint. The challenges include complex ore deposits and multiple processes resulting in industrial problem solving and increased productivity with a virtual mining chain integration.

Read how researchers in the automotive industry use Artelys Knitro in this article from “Robotics and Computer-Integrated Manufacturing”.

Read how experts use Artelys Knitro to solve the transmission expansion planning in this article from “Electric Power Systems Research”.

Read how researchers of the Economic-Ecological Research Group use Artelys Knitro in this article from “Canadian Journal of Forest Research".

Researchers in the oil and gas sector use Artelys Knitro to significantly decrease hydrogen usage while seamlessly integrating ecological and economic considerations. The outcomes are remarkable, with a 44% reduction in hydrogen consumption and a 38% decrease in environmental impact.

In this article from "Expert Systems with Applications," financial services researchers delve into the use of Artelys Knitro for decision-making in complex and uncertain environments, aiming to select the optimal alternative. Results include portfolio optimization, enabling the identification of the best approach while considering regulatory concerns and investor objectives.

Discover how Artelys Knitro enables the design of complex assemblable structures while ensuring their structural stability. The outcomes include optimized cone assembly and the resolution of complex models using the interior-point method.

The life-cycle consumption problem consists in determining the best consumption pattern and investment decisions of individuals over their lifetime. Confronted with a high degree of uncertainty and the need to incorporate budgetary constraints, the results obtained include instances with a 30-year time horizon and improved outcomes, particularly in the most unfavorable scenarios.

Economists work routinely with tax policy models formulated as inequality-constrained nonconvex optimization problems. They have a degeneracy feature: the number of active inequality constraints at a solution is typically several times larger than the number of variables in the problem, which makes them particularly difficult to solve.

Electric power systems are at the heart of the energy trilemma: affordability, sustainability and reliability. Powerful optimization software tools are required to plan electric power systems in order to achieve a twofold result: improving profitability of investments and ensuring reliable operating conditions. The challenges include the complexity of electrical systems such as the nonlinear energy flow equations and the large optimization problems. This results in the optimization of an electrical system with thousands of elements and sustainable electrical systems.

There are various and fascinating projects adopting Artelys Knitro. The MIT Biomimetic Robotics Lab used our nonlinear solver on quadruped robot. Artelys Knitro has been found to be the only non-linear solver capable of performing fast enough to be deployed onboard their robot for a real-time Optimal Landing Control.