func ExampleModel() {
gp.SetSeed(1)
pset := gp.CreatePrimSet(1, "x")
pset.Add(num.Add, num.Sub, num.Mul, num.Div, num.Neg, num.V(0), num.V(1))
problem := gp.Model{
PrimitiveSet: pset,
Generator: gp.GenFull(pset, 1, 3),
PopSize: 500,
Fitness: getFitness,
Offspring: gp.Tournament(3),
Mutate: gp.MutUniform(gp.GenGrow(pset, 0, 2)),
MutateProb: 0.2,
Crossover: gp.CxOnePoint(),
CrossoverProb: 0.5,
Threads: 1,
}
logger := &stats.Logger{MaxGen: 20, TargetFitness: 0.99, PrintStats: true}
problem.Run(logger)
// Output:
// set random seed: 1
// Gen Evals FitMax FitAvg FitStd SizeAvg SizeMax DepthAvg DepthMax
// 0 500 0.12 0.025 0.014 6.85 15 1.96 3
// 1 299 0.33 0.0344 0.0204 6.33 27 1.93 6
// 2 286 0.663 0.0469 0.0448 6.26 27 1.9 7
// 3 265 0.663 0.0598 0.0683 6.58 34 2.06 9
// 4 280 0.663 0.0772 0.088 7.51 39 2.39 9
// 5 291 0.663 0.0918 0.1 8.92 32 2.82 8
// 6 302 0.663 0.117 0.133 10.3 35 3.2 10
// 7 294 1 0.152 0.17 11.1 35 3.48 10
// ** SUCCESS **
}
// MainLoop function runs a model repeatedly with given logger.
// Control of step and restart is controlled via web interface.
func MainLoop(problem *gp.Model, logger *Logger, port, webRoot string) {
logger.InitChan()
go logger.ListenAndServe(port, webRoot)
go func() {
for {
problem.Run(logger)
logger.Reset()
}
}()
StartBrowser("http://localhost"+port, BrowserWidth, BrowserHeight)
}