oxigen
A fast, parallel, and extensible genetic algorithms framework implemented in Rust for solving optimization problems.
What is oxigen?
Oxigen is a parallel genetic algorithm framework written in Rust, designed for high-performance optimization and search problems. It provides a flexible architecture that allows developers to customize every aspect of the algorithm, from mutation rates to selection functions, making it suitable for a wide range of applications.
Researchers and developers working on optimization, search, or coevolutionary problems who need a high-performance, customizable genetic algorithm framework in Rust.
Developers choose Oxigen for its parallel execution leveraging Rust's concurrency, extensive customization via traits for all algorithm components, and features like fitness caching and execution resumption that enhance performance and flexibility.
Overview
Fast, parallel, extensible and adaptable genetic algorithms framework written in Rust
Use Cases
Best For
- Solving complex optimization problems like the N-Queens puzzle for large N (e.g., N=255) in seconds.
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