jmejia8
Full-Time Researcher. Interested on Single/Multi/Bi-level Optimization.
Funding Links: https://github.com/sponsors/jmejia8
- Name: Jesús-Adolfo Mejía
- Location: México
- Company: Applied Mathematics Research Center, UAdeC
- Kind: user
- Followers: 62
- Following: 10
- Total stars: 355
- Repositories count: 148
- Created at: 2022-11-10T09:10:56.885Z
- Updated at: 2025-07-17T19:50:54.705Z
- Last synced at: 2025-07-17T19:50:54.705Z
GitHub Sponsors Profile
👋 Hi, I'm Adolfo Mejía, an Open-Source Enthusiast
I'm passionate about creating free and open-source tools that empower researchers, engineers, and developers around the world.
I maintain Metaheuristics.jl, a Julia package for global optimization. It’s designed to be flexible, efficient, and beginner-friendly — and it’s already helping people solve complex optimization problems in both research and industry.
🚀 Key Features of Metaheuristics.jl:
✅ A wide variety of optimization algorithms (including evolutionary, swarm-based, and hybrid methods)
✅ Support for single- and multi-objective optimization
✅ Performance indicators to benchmark your results
✅ Multi-criteria decision-making tools
✅ Comprehensive documentation with examples and tutorials
I’m currently working on this in my spare time, but my dream is to work full-time on open-source development and make high-quality scientific computing tools accessible to everyone.
💡 Why Sponsor Me?
Your sponsorship helps me:
Fix bugs and respond to issues faster
Add new cutting-edge algorithms
Improve docs and educational content
Keep this project sustainable for the long run
Even a small monthly contribution can make a real difference (yes, it does help cover lunch on long coding days 🍜). Thank you for supporting independent open-source development!
🙌 Let’s build better tools, together.
- Current Sponsors: 0
- Past Sponsors: 1
- Total Sponsors: 1
- Minimum Sponsorship: $5.00
Featured Works
jmejia8/Metaheuristics.jl
High-performance metaheuristics for optimization coded purely in Julia.
Language: Julia - Stars: 278jmejia8/HyperTuning.jl
HyperTuning: Automated hyperparameter tuning in Julia.
Language: Julia - Stars: 24jmejia8/BilevelHeuristics.jl
Metaheuristics for solving bilevel optimization problems.
Language: Julia - Stars: 12jmejia8/HardTestProblems.jl
Hard Test Problems for testing evolutionary algorithms.
Language: Julia - Stars: 4jmejia8/SearchSpaces.jl
Just a simple Julia package to define search spaces for, perhaps, optimization.
Language: Julia - Stars: 4