Gurobi's Research Leadership Recognized Across Leading Scientific Organizations

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s deep scientific roots.

Gurobi Optimization, LLC: Gurobi's Research Leadership Recognized Across Leading Scientific Organizations

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...
GitHub

CAMINO: Collection of Algorithms for Mixed-Integer Nonlinear Optimization

To use the solver 'cia', the packages relies on pycombina. If you want to use this solver, install pycombina using: Install gcc Set up and activate a fresh Python virtual environment (Python >= 3.7 ...
IEEE

Mixed Integer Nonlinear Programming Framework for Fixed Path Coordination of Multiple Underwater Vehicles Under Acoustic Communication Constraints

Abstract: Mixed integer nonlinear programming (MINLP) techniques are increasingly used to address challenging problems in robotics, especially multivehicle motion planning (MVMP). The main ...
GitHub

Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs

This software is a mathematical programming tool for conservationists that allows for linear and nonlinear inputs, continuous and discrete variables, and can be paired with existing ecological ...
IEEE

Mixed-Integer Nonlinear Programming for State-Based Non-Intrusive Load Monitoring

Abstract: Energy disaggregation, known in the literature as Non-Intrusive Load Monitoring (NILM), is the task of inferring the energy consumption of each appliance given the aggregate signal recorded ...
Scientific Research Publishing

S. Leyffer, “Integrating SQP and Branch-and-bound for Mixed Integer Nonlinear Programming,” Computational Optimization and Applications, Vol. 18, No. 3, 2001, pp. 295-309 ...

ABSTRACT: This paper considers a new canonical duality theory for solving mixed integer quadratic programming problem. It shows that this well-known NP-hard problem can be converted into concave ...