Computational Intelligence and Neuroscience / 2016 / Article / Alg 2

Research Article

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

Algorithm 2

.
Input: , PFKB, ( is the dataset; is the number of formula models whose features can show the dataset)
Output: (formula model vector which are used in generating the initial population of )
() temp = predictModel(PFKB, ) // as the intermediate data, it is the original result that exploit the PFKB
to predict without sorting by the fitness
() temp = sortModelByFit(temp) // sort the models in order of decreasing fitness
() for = 1 : 
()  () = temp( )
() end
() return

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