Class | Description |
---|---|
FormulaFitnessFunction |
Fitness function for evaluating the produced fomulas, represented as GP
programs.
|
SymProblem |
Initialize the problem.
|
SymRegression |
Perform symbolic regression.
|
IfElse
etc). However, for the ADF functions (defined by setting adf_arity
to > 0) many more functions is supported. Please note that some of these are (very) experimental and maybe don't even make sense in this context.
Multiply
(double)
Multiply3
(double)
Add
(double)
Add3
(double)
Add4
(double)
Divide
(double)
Subtract
(double)
Sine
(double)
ArcSine
(double)
Tangent
(double)
ArcTangent
(double)
Cosine
(double)
ArcCosine
(double)
Exp
(double)
Log
(double)
Abs
(double)
Pow
(double)
Round
(double)
Ceil
(double)
Floor
(double)
Modulo
(double), implements Java's %
operator for double. See ModuloD for a variant
Max
(double)
Min
(double)
LesserThan
(boolean)
GreaterThan
(boolean)
If
(boolean)
IfElse
(boolean)
IfDyn
(boolean)
Loop
(boolean)
Equals
(boolean)
ForXLoop
(boolean)
ForLoop
(boolean) (cf the double variant ForLoopD)
Increment
(boolean)
Pop
(boolean)
Push
(boolean)
And
(boolean), cf the double variant AndD
Or
(boolean), cf the double variant OrD
Xor
(boolean), cf the double variant XorD
Not
(boolean), cf the double variant NotD
SubProgram
(boolean)
Tupel
(boolean)
# # Polynom x^4 + x^3 + x^2 - x # The JGAP example # presentation: P(4) x^4 + x^3 + x^2 - x (the JGAP example) num_input_variables: 1 variable_names: x y functions: Add,Subtract,Multiply,Divide,Pow,Log,Sine terminal_range: -10 10 max_init_depth: 4 population_size: 1000 max_crossover_depth: 8 num_evolutions: 800 max_nodes: 20 stop_criteria_fitness: 0.1 data -2.378099 26.567495 4.153756 382.45743 2.6789956 75.23481 5.336802 986.33777 2.4132318 51.379707 -1.7993588 9.693933 3.9202332 307.8775 2.9227705 103.56364 -0.1422224 0.159982 4.9111285 719.39545 1.2542424 4.76668 1.5987749 11.577456 4.7125554 615.356 -1.1101999 2.493538 -1.7379236 8.631802 3.8303614 282.29697 5.158349 866.7222 3.6650343 239.42934 0.3196721 -0.17437163 -2.3650131 26.014963A simple run example:
It was 20 data rows Presentation: P(4) x^4 + x^3 + x^2 - x (the JGAP example) output_variable: y (index: 1) input variable: x function1: &1 + &2 function1: &1 - &2 function1: &1 * &2 function1: / function1: &1 ^ &2 function1: log &1 function1: sine &1 function1: 1.0 [19:52:57] INFO GPGenotype - Creating initial population [19:52:57] INFO GPGenotype - Mem free: 10.5 MB [19:52:57] INFO GPPopulation - Prototype program set [19:52:57] INFO GPGenotype - Mem free after creating population: 10.5 MB Creating initial population Mem free: 10.5 MB Evolving generation 1/800, memory free: 6.7 MB (time from start: 0,42s) Best solution fitness: 968.56 Best solution: x ^ 4.0 Correlation coefficient: 0.9999999999999939 Fitness stopping criteria (0.1) reached with fitness 3.7509724195622374E-4 at generation 23 All time best (from generation 23) Evolving generation 23/800, memory free: 10.4 MB (time from start: 3,20s) Best solution fitness: 3.7509724195622374E-4 Best solution: (x * ((((x * x) + x) * x) + x)) - x Depth of chrom: 6 Correlation coefficient: 0.9999999999999939 Total time 3,20s
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