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Reference Guide
GeneticGenes.cxx
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1 // @(#)root/tmva $Id$
2 // Author: Peter Speckmayer
3 
4 /**********************************************************************************
5  * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6  * Package: TMVA *
7  * Class : TMVA::GeneticGenes *
8  * Web : http://tmva.sourceforge.net *
9  * *
10  * Description: *
11  * Implementation (see header for description) *
12  * *
13  * Authors (alphabetical): *
14  * Peter Speckmayer <speckmay@mail.cern.ch> - CERN, Switzerland *
15  * *
16  * Copyright (c) 2005: *
17  * CERN, Switzerland *
18  * MPI-K Heidelberg, Germany *
19  * *
20  * Redistribution and use in source and binary forms, with or without *
21  * modification, are permitted according to the terms listed in LICENSE *
22  * (http://tmva.sourceforge.net/LICENSE) *
23  **********************************************************************************/
24 
25 #include "TMVA/GeneticGenes.h"
26 #include "TMVA/GeneticPopulation.h"
27 
28 #include "Rtypes.h"
29 #include "RtypesCore.h"
30 
31 /*! \class TMVA::GeneticGenes
32 \ingroup TMVA
33 
34 Cut optimisation interface class for genetic algorithm.
35 
36 */
37 
39 
40 ////////////////////////////////////////////////////////////////////////////////
41 /// Constructor:
42 /// set the factors of this individual
43 
44 TMVA::GeneticGenes::GeneticGenes( std::vector<Double_t> & f )
45 {
46  fFactors = f;
47  fFitness = 0;
48 }
49 
51 {
52  return first.fFitness < second.fFitness;
53 }
#define f(i)
Definition: RSha256.hxx:104
bool Bool_t
Definition: RtypesCore.h:59
std::vector< Double_t > fFactors
Definition: GeneticGenes.h:58
Cut optimisation interface class for genetic algorithm.
Definition: GeneticGenes.h:41
static constexpr double second
#define ClassImp(name)
Definition: Rtypes.h:359
Bool_t operator<(const GeneticGenes &, const GeneticGenes &)
Definition: first.py:1