Computational Intelligence and Neuroscience / 2016 / Article / Alg 6

Research Article

Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem

Algorithm 6

PFK-GP.
Input: data, PFKB, , , , , , , , interval
Output: (candidate formulas set)
()    (data, PFKB)
()     = CountSamePartF(, )
()    (, )
()    (, , , , )
()    while (bestFitness    threshold &&  )
()      = crossover()
()      = mutate()
()      = ParetoOptimise() // prevent the formula model too complex
()     _fitnees = EvaluatePopulation()
()  bestFitness, = Selectbest(, _fitness, ) // choose the best individuals and get the best fitness value from the individuals
()  if mod interval
()   (, , , )
()    = traditionalRandomIndividual()
()   
()  else
()    = traditionalRandomIndividual()
()   
()  end
()  ++
() end
() return

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