In this brief, we propose a new design: a Boolean Neural Network (BNN) for the 0-1 linear programming problem under inequalities constraints by using the connection between concave programming and ...

##Introduction This package is used for solving a linear programming problem, it is capable of handling of minimization was well as maximization problems. The package contains a command line solver ...

Misclassification minimization is an important and interesting topic in classification problem. Obviously, exploring the solution for this topic will benefit to many real life problems, such as credit ...

Linear programming models offer powerful tools to optimize transportation systems, addressing problems like delivery truck scheduling, airline routing, and public transportation optimization. This ...

Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function.

To solve an Integer Programming problem, we can use the Branch and Bound algorithm: # IP: a minimization integer program with constraints and objective function cost def branch_and_bound(IP): 1. Push ...