A genetic algorithm for bechmark problems, written to learn Rust.

Overview

Genetic Algorithm

Build Status

A genetic algorithm in Rust for the following benchmark problems:

  • Ackley
  • Griewangk
  • Rastrigin
  • Rosenbrock
  • Schwefel
  • Sphere

Usage:

  1. Install Rust
  2. Build with cargo build --release
  3. Search with ./target/release/rust-genetic-algorithm
  4. See further usage with rust-genetic-algorithm --help

Based on my prior implementation in C++.

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Comments
  • Update rand package version dependency.

    Update rand package version dependency.

    Prior to this commit attempting to build the project with cargo build --release failed to compile the rand dependency (which was defaulting to v0.3.8). After this commit the rand dependency requires a more current version and the project builds successfully.

    I'm working on learning some Rust myself and wanted to turn some knobs in your project, this fix allowed me to build it.

    opened by shnewto 8
  • Generalize for any problem

    Generalize for any problem

    Add something along the lines of:

    struct Problem {
        min: f64,
        max: f64,
        dimension: usize,
        mutation_rate: usize, // 1 in n
        population_size: usize,
        iterations: usize,
    }
    
    trait Fitness {
        fn fitness(x: &Vec<f64>) -> f64;
    }
    
    opened by andschwa 7
Owner
Andrew Schwartzmeyer
(he/him) Open-source software engineer @Microsoft. Made @PowerShell open-source. @Apache Mesos committer. Emacs aficionado.
Andrew Schwartzmeyer
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