Signal Temporal Logic (STL) provides a convenient way of encoding complex control objectives for robotic and cyber-physical systems. The state-of-the-art in trajectory synthesis for STL is based on ...

Sherali (2007) and Sherali & Adams (2013) first introduced the concept of reformulation linearization technique (RLT) to formulate linear programming relaxation for nonconvex problems. The RLT ...

By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

2.2 Mixed-integer program formulation Before we formulate the ALP as an MILP and explain the choice of constraints, let us first introduce two sets of binary (decision) variables needed for our model.

M. Raghavachari, On Connections between Zero-One Integer Programming and Concave Programming under Linear Constraints, Operations Research, Vol. 17, No. 4 (Jul. - Aug ...

Linear Programming Supply Chain Optimization using Binary and Integer Constraints. There are five customers whose demand has to be satisfied by building one or two warehouses. The table below shows ...