Bayesian Network tools in Java (BNJ) 2 - Intermediate Developer Tutorial

http://bndev.sourceforge.net

How to Use Them

n// create a population

npop = new Population();

n// only has 1 sub population

pop.subpop = new Subpopulation[1];

n// instantiate your fitness function. It must

n// implement Fitness interface

nfitnessFunction = new MyFitnessFunction();

// create the sub-population with the subPopulationSize

n// an instance of the individual, and the fitness function

pop.subpop[0] = new Subpopulation(subPopulationSize, new MyChrom(attributeSize), fitnessFunction);

// Adding operators. Here, it means that CrossOver is done

// 0.8 times and mutation is done 0.2 times.

npop.subpop[0].addOperator(new CrossOverOp(), 0.8);

npop.subpop[0].addOperator(new MutationOp(), 0.2);

// Evolve the GA for numGenerations times

pop.evolve(numGenerations);