1. GenPro Genetic Programming made simple Rob van der Veer Bluevoid

2. Bio Java Development (Web, OSGi, Android, Swing) Project Leader (o.a. Scrum) [email_address]

3. Genpro preamble

4. Automated help: “Grrr”

5. Settings vs re-programmable logic

6. AI to the rescue! Genetic Programming Genetic Algorithm Neural networks Fuzzy logic Self learning machines Emergent behavior Reinforcement learning Automated logic Simulated annealing Bayesian networks “ computer programs are the best representation of computer programs” - John R. Koza -

10. Genpro birth

14. A grid of cells i1 37 17.4 Input values 1: 113 2: 212 3: 392 4: 752 Expected Output values 1: 45 2: 100 3: 200 4: 400 O1 x +

15. Working with GenPro

21. GenPro inner working

22. Creating a random solution Lib1 Math input1 Integer output1 Integer Integer c1 = Math.abs(input1); Integer c2 = Math.round(c1); Integer c3 = c2.compareTo(c1); return c2; } import java.lang.Math; public Integer calc(Integer input1) { Math.cos(…) Math.abs(…) … input1 Call targets Param values Math.cos(…) Math.abs(…) c1.compareTo … input1 c1 input1 c1 c2 input1 c1 c2 c3 c3 Integer compareTo(Integer) abs(int) c1 Integer c2 Integer round(double) junk DNA, aka intron ineffective DNA

26. Back to reality ;)

27. Egg Boiling!

32. Genpro current state

39. Genpro, the origin of species (not covered on feb 2!)

40. Example Solution structure cc2 Integer cc3 Integer Lib1 Math Input1 Integer abs(int) round(double) compareTo(Integer) Output1 Integer cc1 Integer parameters Method calls

41. Crossing of solutions cross over point Int Int Math Int Int Int Solution A Int Int Math Int Int Int Solution B

42. Creating children of A & B Int Int Int Int Parent A Int Int Int Int Parent B Child A~B Child B~A cross over point Int Int Int Int Int Int Int Int

43. Crossover Reconnecting A2 B1 B2 A1 Int Int Math Int Int Int Child A~B Int Int Math Int Int Int Child B~A

44. Example Solution structure 2 in code: setup.setCallCells(3, "cc", Double .class, Integer.class , Boolean .class ); cc2 Integer cc3 Boolean Lib1 Math Input1 Integer abs(int) Output1 Integer cc1 Double

45. Crossover on mixed value types A2 B1 Int Int Math Int Int Dbl Child B~A compareTo(Integer) Mismatch in param type! Potential mismatch in return type and method call

46. Crossover in nature: the origin of species Heart Lung “ DNA” of Horse Heart Lung Brain “ DNA” of Dog cross over points do not match!

48. Crossover on mixed value types: random reconnect A2 B1 Int Int Math Int Int Dbl Child B~A compareTo(Integer) Moved connection

49. Here be dragons