Travelling Salesman Problem (TSP) Solved with IBM ILOG CPLEX | MTZ Formulation Tutorial скачать в хорошем качестве

Travelling Salesman Problem (TSP) Solved with IBM ILOG CPLEX | MTZ Formulation Tutorial

Master the Travelling Salesman Problem (TSP) using IBM ILOG OPL CPLEX Studio and the Miller-Tucker-Zemlin (MTZ) formulation! This tutorial walks you through building an integer linear programming model to find the shortest route visiting all cities exactly once and returning to the origin. 0:00 TSP Problem Overview 1:45 MTZ Formulation Deep Dive 4:10 Sub-Tour Elimination Constraints 6:30 OPL Coding in CPLEX Studio 9:15 Optimal Route Analysis In this video, you’ll learn: ✅ MTZ Formulation Essentials: Model TSP with decision variables and sub-tour elimination constraints. ✅ OPL Implementation: Code the optimization model in CPLEX Studio step by step. ✅ Constraint Mastery: Prevent incomplete cycles with MTZ’s critical constraints. ✅ Results Analysis: Extract and interpret the optimal route & minimum distance. ✅ Real-World Application: Apply TSP solutions to logistics, routing, and supply chain challenges. Tools used: IBM ILOG CPLEX Optimization Studio Miller-Tucker-Zemlin (MTZ) method Optimization Programming Language (OPL) Ideal for: Operations researchers, data scientists, logistics planners, and optimization enthusiasts. Subscribe for advanced CPLEX tutorials! #TSP #TravelingSalesman #CPLEX #Optimization #OperationsResearch #IBMILOG #SupplyChain #MathematicalProgramming #MTZ #ortutorial