Most optimization problems in engineering are nonlinear, with many constraints. Consequently, finding optimal solutions to such nonlinear requires efficient methods. of the methods used so far gradient-based In methods, objective function must be differentiable, and search for optimum solution usually starts a guess-point. For multimodal objectives, will likely get stuck at local optimum. Nowad...

This paper describes an experimental code that has been developed to solve zero one mixed integer linear programs The experimental code uses a primal dual interior point method to solve the linear programming subproblems that arise in the solution of mixed integer linear programs by the branch and bound method Computational results for a number of test problems are provided

A famous travelling salesman problem, appearing simple to state but complex solve, has been widely investigated and various algorithms have proposed. In this article, mixed integer linear programming of python (MIP) is used model problem with varying input data. The result shows that small data the modelling code MIP executing quickly converging optimal value, while large scale require plenty c...