gen-alg
v2.1.8
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The library of genetic algorithm
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gen-alg
The library of genetic algorithm
Quick start
const { Population } = require('gen-alg');
const population = new Population({
schema: {
a: {
type: 'float',
min: 0,
max: 1,
digits: 2,
},
},
toFitness: entity => 1 - ((entity.a - 0.5) ** 2),
});
let stop = false;
for (let i = 0; i < 1000 && !stop; i++) {
stop = population.next(); // next generation
const { a } = population.best();
console.log(`${i}. - ${a}`);
}
Schema example
const schema = {
field1: {
type: 'int',
min: 0,
max: 100,
},
field2: {
type: 'float',
min: 0,
max: 1,
digits: 3,
},
field3: {
type: 'object',
fields: {
field1: {
type: 'int',
min: 0,
max: 50,
}
}
},
};
Fitness helper
/**
* Gets fitness value
* @param {number} x genetic field
* @param {number} value target value
* @param {number} se standard error (se = Math.sqrt(max - min))
* @return {number} fitness value [0, 1]
*/
function forValue(x, value, se) {
if (x === value) return 1;
const dev = Math.abs(x - value) / se;
return Math.exp(-dev);
}
for example:
const { Population, fitnessHelper } = require('gen-alg');
const population = new Population({
schema: {
a: {
type: 'int',
min: 0,
max: 100,
},
},
// size: 20,
toFitness: entity => fitnessHelper.forValue(entity.a, 50, 10),
});
let stop = false;
for (let i = 0; i < 1000 && !stop; i++) {
stop = population.next();
const { a } = population.best();
console.log(`${i}. - ${a}`);
}
Multiple fields
const { Population, fitnessHelper } = require('gen-alg');
const population = new Population({
schema: {
a: {
type: 'int',
min: 0,
max: 100,
},
b: {
type: 'float',
min: 0,
max: 1,
digits: 2,
},
},
size: 40, // you can performance manipulate
toFitness: ({ a, b }) => fitnessHelper.forValue(a, 50, 10) * fitnessHelper.forValue(b, 0.5, 0.1),
});
let stop = false;
for (let i = 0; i < 1000 && !stop; i++) {
stop = population.next();
const { a, b } = population.best();
console.log(`${i}. - ${a}, ${b}`);
}
Array hack
The array type doesn't support yet. If you want use array you can write little hack, like that:
const { Population, fitnessHelper } = require('gen-alg');
// ------ Array hack ------
const length = 9;
const arraySchema = {};
for (let i = 0; i < length; i++) {
arraySchema[i] = {
type: 'int',
min: 0,
max: 100,
};
}
function toArray(entity) {
const arr = [];
for (let i = 0; i < length; i++) {
arr.push(entity[i]);
}
return arr;
}
// -----------------------
const population = new Population({
schema: arraySchema,
toFitness: (entity) => {
let fitness = 1;
const arr = toArray(entity);
for (let i = 0; i < arr.length; i++) {
const x = arr[i];
const targetValue = (i + 1) * 10;
fitness *= fitnessHelper.forValue(x, targetValue, 10);
}
return fitness;
},
});
let stop = false;
for (let i = 0; i < 1000 && !stop; i++) {
stop = population.next();
const arr = toArray(population.best());
console.log(`${i}. - ${arr.toString()}`);
}