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

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 ...

APROS represents an algorithmic development procedure for classes of mathematical programming problems that involve some form of decomposition technique and require extensive communication of data ...

Latest release provides users with powerful tools to solve their most complex optimization problems more efficiently. BEAVERTON, Ore., November 19, 2024--(BUSINESS WIRE)--Gurobi Optimization, LLC, 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 ...

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 ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

BOZEMAN, Mont.--(BUSINESS WIRE)--Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO ® Xpress 9.2 Optimization. The global ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of Gurobi Optimizer 12.0. This latest version provides users ...