Optimization of a city delivery network using Gurobi for Python. Achieve efficient perishable goods distribution with a hub-and-spoke model, balancing delivery volumes and distances ...

Linear Programming and Mixed Integer Programming problems solved in Python using PuLP / Gurobi. A number of problems, coming courtesy of the internet, textbooks, Dr Michael Forbes of UQ and elsewhere.

Abstract: This paper is about the primal-dual relationship in a mixed integer programming problem (MIP) in which integer variables are binary. It shows how the primal-dual relationship of a linear ...

Researchers utilize mixed-integer linear programming and nonlinear programming formulations for neural networks, tree ensembles, and decision trees. (9,35,36) Additionally, several tools such as the ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...

The computational protein design problem or the side-chain positioning problem is a central part in computational methods for predicting protein structure and designing protein sequences. However, the ...