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Figure B1. Input data file for the genetic programming algorithm

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APPENDIX B Input data file for the GP algorithm

The code developed in this thesis has been written in C++ following recommendations given in Kuhlmann and Hollick (1995) and Kinnear (1994).

A typical input data file is shown in Figure B.1 One parameter controls the complexity (the number of nodes) of the trees in the initial population. In this thesis, better solutions were observed when assuming small values. The penalty coefficient is defined in (4.3).

0 0.2 0.01 500 1000 3 0.0 20

0.615 0.847 0.640 0.098 0.058 0.218 0.615 0.458 0.000 0.064 0.025 0.135 0.615 0.000 0.056 0.063 0.037 0.140 0.615 0.200 0.010 0.042 0.016 0.083 0 -> no derivatives

1 -> derivatives

Percentage of the elite

Mutation

probability

Population

size Maximum number of generations

Initial complexity

of the tree

Penalty

coefficient

Number of

plan points

x

1 x2 xN

Design

variables

Response

y

...

Figure B1. Input data file for the genetic programming algorithm

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