Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling.

We present a method for approximating the solution of mixed integer nonconcave programming problems in bounded variables. We present computational results for 39 test problems which suggest that the ...

The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...

We formulate the mission planning problem for a fleet of unmanned aerial vehicles (UAVs) as a mixed-integer nonlinear programming problem (MINLP). The problem asks for a selection of targets from a ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling. Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased ...