https://github.com/jbytecode/mccga.java

Machine-coded compact genetic algorithm in Java
https://github.com/jbytecode/mccga.java

Last synced: 22 days ago
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Machine-coded compact genetic algorithm in Java

• Host: GitHub
• URL: https://github.com/jbytecode/mccga.java
• Owner: jbytecode
• License: mit
• Created: 2023-09-28T18:55:34.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-23T17:22:43.000Z (7 months ago)
• Last Synced: 2024-10-15T16:56:54.173Z (2 months ago)
• Language: Java
• Size: 17.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mccga.java

Machine-coded compact genetic algorithm in Java.

## 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](https://dergipark.org.tr/en/pub/alphanumeric/issue/55603/576919)

## Usage 

Suppose the optimization problem is 

$$

\min f(x, y) = \text{abs}(x - 3.14159265) + \text{abs}(y - \exp{1})

$$

then the MCCGA searches for the minimum using 

```java

OptimizationFunction of = new OptimizationFunction() {

    @Override

        public double f(double[] x) {

            return Math.pow(x[0] - 3.14159265, 2.0) + Math.pow(x[1] - 2.71828, 2.0);

        }

    };

double eps = 0.001;

double[] exp = new double[] { 3.14159265, 2.718282 };

double[] mins = new double[] { -100.0, -100.0 };

double[] maxs = new double[] { 100.0, 100.0 };

double mutrate = 0.001;

int maxiter = 10000;

double[] result = Mccga.mccga(of, mins, maxs, mutrate, maxiter);

```