Metaheuristics aim to generate or select a heuristic for an optimization problem,
particularly where the set of sample solutions is too large to completely sample.
A handful of metaheuristic crates exists in the Rust ecosystem, most notably
several libraries that make it straight-forward to write genetic or evolutionary algorithms.
Numerical optimization in pure Rust
Last Commit: 2024-10-03
Last Published: 2024-02-27
A toolbox for efficient global optimization
Last Commit: 2024-10-01
Last Published: 2024-10-01
COBYLA optimizer for Rust
Last Commit: 2024-04-22
Last Published: 2024-04-22
Flexible and modular single or multi-objective solver for contiguous and discrete problems
Last Commit: 2024-09-09
Last Published: 2020-08-16
SLSQP optimizer for Rust
Last Commit: 2024-04-02
Last Published: 2023-10-19
A library providing genetic algorithm execution.
Last Commit: 2021-01-22
Last Published: 2021-01-21
Find approximate solutions to your optimisation problem using metaheuristics algorithms
Last Commit: 2022-07-16
Last Published: 2022-07-16
Fast, parallel, extensible and adaptable genetic algorithm library.
Last Commit: 2021-07-11
Last Published: 2021-02-28
simplers_optimization
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crate ·
repo ·
docs
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A Rust implementation of the Simple(x) black-box optimization algorithm.
Last Commit: 2023-04-24
Last Published: 2021-10-24
Evolutionary algorithms library written in Rust.
Last Commit: 2022-07-11
Last Published: 2017-06-26
a little lib to use genetic algorithm
Last Published: 2015-12-11
Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also known as neuroevolution.
Last Commit: 2017-08-20
Last Published: 2017-08-20
Evolutionary Algorithm Library for Rust
Last Commit: 2016-01-19
Last Published: 2015-12-11
pengowen123/eant2
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repo
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Last Commit: 2022-06-12