guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) observed · 2026-08-28
Health v2 · maintenance only
56/100
- Activity 74
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3193
- days_rel: n/a
- days_push: 161
- n_releases_24m: 0
Adoption not part of the score
6709 stars · 1107 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Python library implementing heuristic and swarm intelligence optimization algorithms, including genetic algorithm, particle swarm optimization, simulated annealing, ant colony, immune algorithm, artificial fish swarm, and differential evolution. It supports user-defined operators and includes TSP (traveling salesman problem) solving.
Use cases
- solve traveling salesman problem in python
- run a genetic algorithm on my objective function
- optimize parameters with particle swarm optimization
- apply simulated annealing to minimize a function
- use ant colony optimization for routing
- try differential evolution for global optimization
- customize selection and crossover operators in a genetic algorithm
When to choose
- you need a variety of metaheuristic optimization algorithms behind one scikit-learn-like Python API
- you want to plug in custom selection, crossover, or mutation operators
- you need quick TSP or combinatorial optimization prototyping
When to avoid
- you need large-scale, GPU-accelerated, or production-grade optimization performance
- you need exact/linear programming solvers rather than heuristics
- you need deep learning or gradient-based training tools
Facets
library · maturity active
machine-learning simulation math artificial-intelligence performance data-science python windows genetic-algorithm particle-swarm-optimization simulated-annealing ant-colony heuristic-optimization tsp differential-evolution swarm-intelligence algorithms linux macos
3 sources
- readme: https://github.com/guofei9987/scikit-opt · fetched 2026-08-28 · c7175cc0ca16
- homepage: https://scikit-opt.github.io/scikit-opt/#/en/ · fetched 2026-08-29 · 0c5314e2b60e
- registry_pypi: https://pypi.org/pypi/scikit-opt/json · fetched 2026-08-29 · 298e19ad989f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| guofei9987/scikit-opt | main | 56 |
For agents
markdown · JSON · MCP: product_card(name="guofei9987/scikit-opt")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem