Technical Terms Mixed-Integer Nonlinear Programming (MINLP): An optimisation framework that integrates discrete variables with continuous nonlinear functions to model complex decision-making problems.

Mixed-Integer Nonlinear Programming (MINLP): An optimisation method involving both continuous and discrete variables subject to nonlinear constraints, commonly employed in the planning and ...

APROS procedures are implemented through GAMS which is interfaced with nonlinear, linear and mixed-integer linear programming solvers to provide completely general automated implementations of many ...

Sensor-network localization The latest FICO Xpress release also includes performance enhancements to the core mixed-integer programming engine, and several usability features.

Global MINLP Optimality: Directly state nonlinear constraints using Gurobi’s APIs and solve mixed-integer nonlinear programming (MINLP) problems to global optimality.

Abstract Many real-world problems are intrinsically mixed-integer nonlinear optimization models, which are challenging to solve due to the combinatorial complexity resulting from discrete decision ...

Peng-Sheng You, Yi-Chih Hsieh, A heuristic algorithm for medical staff's scheduling problems with multiskills and vacation control, Science Progress (1933-), Vol. 104, Supplement 3: Conference ...