MaxHalford/eaopt

:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

45
/ 100
Emerging

This library helps developers optimize complex systems or functions without needing detailed mathematical gradients. You provide a definition of a 'solution' and a way to measure its quality, and the library returns the best-performing solution it finds. It's used by software engineers or data scientists who need to find optimal configurations, parameters, or strategies for problems where traditional calculus-based optimization is not feasible.

907 stars. No commits in the last 6 months.

Use this if you need to find the best possible settings or solutions for a problem where the 'best' answer isn't obvious, especially when traditional mathematical optimization methods are too complex or unavailable.

Not ideal if your optimization problem involves simple, well-behaved functions where gradients can be easily calculated, as more direct methods would be faster.

algorithm-optimization parameter-tuning systems-engineering computational-search machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

907

Forks

96

Language

Go

License

MIT

Last pushed

Jan 27, 2025

Commits (30d)

0

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