Optimization Course
This course equips learners with practical skills in optimization for vehicle routing problems, covering modeling, exact solving, heuristics, metaheuristics, and analysis for operational decision-making.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Optimisation Course provides a focused, practical approach to designing and solving small-scale vehicle routing problems. You will gather and prepare real distance and cost data, create exact models using modern solvers, and apply heuristics and metaheuristics. Learn to assess trade-offs, perform sensitivity analysis, and convert algorithmic results into clear, dependable routing decisions for actual operations.
Elevify advantages
Develop skills
- Build VRP and CVRP models: define variables, constraints, and cost structures.
- Use Gurobi or CPLEX to solve small routing instances and extract optimal routes.
- Design and code Clarke-Wright and local search heuristics for quick route planning.
- Implement metaheuristics like tabu search and genetic algorithms for CVRP.
- Analyze routing trade-offs, run sensitivity checks, and report actionable insights.
Suggested summary
Before starting, you can change the chapters and 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 got 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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