Optimization Course
This course equips learners with essential skills in vehicle routing optimization, covering modeling, solving techniques, heuristics, and practical analysis for efficient route planning.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course provides a practical guide to setting up and tackling small vehicle routing problems. You will gather and prepare actual distance and cost information, create precise models using current solvers, and apply heuristics and metaheuristics. You will learn to assess trade-offs, perform sensitivity analysis, and convert algorithm outcomes into straightforward, dependable routing choices for everyday operations.
Elevify advantages
Develop skills
- Build VRP and CVRP models by defining variables, constraints, and cost setups.
- Use Gurobi or CPLEX to solve small routing problems and obtain optimal paths.
- Design and program Clarke-Wright and local search heuristics for quick route planning.
- Implement metaheuristics such as tabu search and genetic algorithms for CVRP.
- Examine routing trade-offs, conduct sensitivity tests, and deliver practical insights.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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