Aircraft Trajectory Planning With Collision Avoidance Using Mixed Integer Linear Programming by Arthur Richards and Jonathan P. How (10.1109/ACC.2002.1023918) ...

Extension package built around an AMPL mixed-integer linear program (MILP) with a Python front-end, enabling solar PV + battery storage co-optimization for a commercial & industrial (C&I) facility ...

Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...

Optimal control theory seeks to determine control strategies that drive dynamical systems to meet performance objectives, while mixed-integer optimisation incorporates both continuous and discrete ...

Abstract: Energy storage (ES) is typically modeled as either a mixed-integer linear programming (MILP) problem involving binary variables or a quadratic constraint programming (QCP) problem with ...

Jeroslow and Lowe gave an exact geometric characterization of subsets of ℝ𝑛 that are projections of mixed-integer linear sets, also known as MILP-representable or MILP-R sets. We give an alternate ...

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 ...

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 ...