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

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

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

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

Introduction to mathematical optimization and its applications, linear optimization models, Simplex Algorithm, sensitivity analysis, mixed-integer optimization models, branch-and-bound algorithm, ...

Mixed-integer programs (MIPs) involving logical implications modeled through big-M coefficients are notoriously among the hardest to solve. In this paper, we propose and analyze computationally an ...

Traffic signals can be synchronized so that a car, starting at one end of a main artery and traveling at preassigned speeds, can go to the other end without stopping for a red light. The portion of a ...