Core Functionality Solve maximization and minimization linear programming models. Solve binary integer programming models, specifically Knapsack problems. Accepts a dynamic number of decision ...

Optimal capacitor placement and network reconfiguration are well-known methods to minimize losses, enhance reliability, and improve the voltage profile of electric distribution networks (EDNs).

Simple Linear Programming with CPLEX IBM ILOG CPLEX Optimizer is a tool for solving linear optimization problems, commonly referred to as Linear Programming (LP) problems. The CPLEX Python API is a ...

A novel Mixed-Integer Linear Programming (MILP) model based on continuous time and batch volume formulation is proposed. The objective is to maximize the main pipeline utilization rate for phosphate ...

I’ve been keeping track of AI since the early 1970s when I read a book, “The Sciences of the Artificial” by Herbert A. Simon, ...

We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded by certain ...

In this article Gomory's method of solution of integer linear programming problems is described briefly (with an example of the method of solution). The bulk of the paper is devoted to a discussion of ...

Founded in 1933 by a group of young British and American economists, The Review of Economic Studies aims to encourage research in theoretical and applied economics, especially by young economists.

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.