mccga.rs

Machine-coded compact genetic algorithm in Rust

In-short

The package implements the Machine-coded compact genetic algorithm defined in

Satman, M. H. & Akadal, E. (2020). Machine Coded Compact Genetic Algorithms for Real Parameter Optimization Problems . Alphanumeric Journal , 8 (1) , 43-58 . DOI: 10.17093/alphanumeric.576919 Link

Example

Suppose that the objective function is to minimize

fn f(x: &Vec<f64>) -> f64 {
    return (x[0] - 3.14159265).powf(2.0) + (x[1] - 2.71828).powf(2.0);
}

so the package allows to type

let mins: Vec<f64> = vec![-10000.0_f64; 2];
let maxs: Vec<f64> = vec![10000.0_f64; 2];

let result = mccga(f, &mins, &maxs, 0.001, 100000);

to minimize the objective function where result is a 2-element vector. One can test the result using

assert!(isequal(&result[0], 3.14159265, 0.001));
assert!(isequal(&result[1], 2.71828, 0.001)); 

Other implementations

• Python (https://github.com/jbytecode/mccga.py)
• Julia (https://github.com/jmejia8/Metaheuristics.jl)
• Java (https://github.com/jbytecode/mccga.java)