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Selection Procedure
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/** | |
* Breed a New Generation of Chromosomes | |
* */ | |
function breed() { | |
var totalFitness = 0; | |
var fittest; | |
var fit=0; | |
/** | |
* Calculate fitness of each and every chromosome | |
* */ | |
for(var j = 0 ; j < population.length ; j++){ | |
var temp = population[j].fitness(75,75,goal); | |
if (temp >= fit){ | |
fit = temp; | |
fittest = population[j];// Fittest Chromosome in a Generation | |
} | |
totalFitness += temp; | |
} | |
/** | |
* Sort the Generation | |
* */ | |
population = population.sort(function(a, b) { | |
return b.fitnessValue - a.fitnessValue; | |
}); | |
var newPopulation = []; | |
/** | |
* Select the Chromosomes with best fitnesses | |
* */ | |
var selectCount = Math.floor(population.length * CROSSOVER_RATE); | |
/** | |
* Number of Chromosomes that needed to be crossed with the each of the Chosen Chromosome | |
* */ | |
var randCount = Math.ceil(1 / CROSSOVER_RATE); | |
/** | |
* Select two parents and breed | |
* */ | |
for (var i = 0; i < selectCount; i++) { | |
for (var h = 0; h < randCount; h++) { | |
var parent = i; | |
while (parent == i) { | |
parent = (Math.random() * selectCount) >> 0; | |
} | |
/** | |
* Breed | |
* */ | |
var crossed = crossover(population[i], population[parent], CROSSOVER_RATE, GENE_SIZE, CHROME_SIZE); | |
newPopulation.push(crossed); | |
} | |
} | |
} |
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