Changes between Version 1 and Version 2 of Features/Genetic Programming


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Timestamp:
12/24/11 13:26:02 (8 years ago)
Author:
gkronber
Comment:

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  • Features/Genetic Programming

    v1 v2  
    1 HeuristicLab supports tree-based (Koza-style) genetic programming. This classical form of genetic programming uses a tree-based representation of solution candidates. The data types and operators to work with tree-bsaed solution candidates are implemented in the plugin `HeuristicLab.Encodings.SymbolicExpressionTree`.
     1= Genetic Programming with HeuristicLab =
     2
     3[[http://dev.heuristiclab.com/trac/hl/core/wiki/UsersSamples#GeneticProgramming | Samples for Genetic Programming]]
     4
     5HeuristicLab supports tree-based (Koza-style) genetic programming. This classical form of genetic programming uses a tree-based representation of solution candidates. The data types and operators to work with tree-bsaed solution candidates are implemented in the plugin `HeuristicLab.Encodings.SymbolicExpressionTree`.
    26
    37Supported operators (in 3.3.6):
     
    1216 * Full-tree shaker (uniform mutation, only parameters)
    1317
    14  
     18The symbolic expression tree encoding contains the implementation of the problem independent data structure (a tree of symbols) and operators. Based on the encoding we implemented three well-known GP problems.
     19
     20Supported Problems (in 3.3.6):
     21 * Symbolic regression (`HeuristicLab.Problems.DataAnalysis.Symbolic.Regression`)
     22 * Symbolic classification (`HeuristicLab.Problems.DataAnalysis.Symbolic.Classification`)
     23 * Artificial Ant problem (`HeuristicLab.Problems.ArtificialAnt`)
     24
     25Samples for all three of these problems are available on the `Start page` in HeuristicLab. Additional samples are available here: [[http://dev.heuristiclab.com/trac/hl/core/wiki/UsersSamples#GeneticProgramming]]