Mixed-Integer Nonlinear Programming Optimization Publication Trend The graph below shows the total number of publications each year in Mixed-Integer Nonlinear Programming Optimization.

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.

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 ...

The computational results suggest that some compromise is needed when the problem contains more than a modest number of integer variables. OR professionals in every field of study will find ...