Formulating a linear programming problem requires identifying the decision variables, the objective function, and the constraints that apply to the problem.

This paper gives a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC ...

Cutting plane method is a way of solving linear programming problems that have integer variables, also known as integer programming problems. Integer variables are those that can only take whole ...

Introduction and Formulation. Optimization problems are closely tied with constraint satisfaction problems. The main difference is that optimization problems introduce a notion of cost we'd like to ...

This book introduces multiple criteria and multiple constraint levels linear programming (MC 2 LP), which is an extension of linear programming (LP) and multiple criteria linear programming (MCLP). In ...

Citation: Kantor I, Robineau J-L, Bütün H and Maréchal F (2020) A Mixed-Integer Linear Programming Formulation for Optimizing Multi-Scale Material and Energy Integration. Front. Energy Res. 8:49. doi: ...

Ridley, D. and Khan, A. (2020) Randomized Constraint Limit Linear Programming in Risk Management. Journal of Applied Mathematics and Physics, 8, 2691-2702. doi: 10.4236/jamp.2020.811199. 1.

This paper gives a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC ...