I will build a custom genetic algorithm solver in python
Über diesen Service
Need to optimize something where brute force is too slow and exact solvers give up? You're in the right place.
I build custom metaheuristic algorithms in Python, delivered as clean code you can run and modify.
Algorithms:
- Genetic Algorithm, PSO, Simulated Annealing
- Differential Evolution, Ant Colony, Tabu Search, VNS
Problems I Solve:
- Scheduling and timetabling
- Routing (TSP, VRP)
- Facility location and resource allocation
- Knapsack, packing, assignment
- Feature selection and parameter tuning
- Any custom objective you can describe
What You Get:
- Clean, commented Python source code
- README explaining every parameter
- Convergence plots
- Benchmark tables and PDF report (larger packages)
Why Me:
- Physics and CS student with research experience in metaheuristic optimization
- Clear communication, no black boxes
Message me with your problem before ordering. If it isn't well defined yet, we'll formulate it together.
FAQ
I have a problem but I don't know which algorithm to use. Can you still help?
Yes, that's the normal case. Send me a description of what you want to minimize or maximize and what your constraints are, and I'll tell you which method fits and why before you order.
What do you need from me to start?
A clear description of the objective and constraints, any data files, and the format you want the output in. If you already have code or a partial model, send that too.
Will the solution be optimal?
Metaheuristics find very good solutions fast, but they don't prove optimality. If your instance is small enough for an exact method, I'll tell you and you'll get a better answer that way.
Can you work in MATLAB or Java instead of Python?
Yes. Python is the default, but MATLAB, Java and C are available on request. Mention it before ordering.
Do you help with academic work?
I write code, explain the methodology and produce benchmarks and reports. I don't write theses or complete assignments that are meant to be submitted as your own work.

