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peo: lessons 1,2 and 3 modified

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@999 331e1502-861f-0410-8da2-ba01fb791d7f
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canape 2008-02-22 10:44:06 +00:00
commit 93f0cfd82e
8 changed files with 123 additions and 79 deletions
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30
trunk/paradiseo-peo/tutorial/Lesson1/mainEA.cpp
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@ -1,7 +1,7 @@
/*
* <main.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, INRIA, 2007
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, INRIA, 2008
*
* Clive Canape
*
@ -40,7 +40,6 @@
typedef eoReal<double> Indi;
//Evaluation function
double f (const Indi & _indi)
{
// Rosenbrock function f(x) = 100*(x[1]-x[0]^2)^2+(1-x[0])^2
@ -56,20 +55,19 @@ double f (const Indi & _indi)
int main (int __argc, char *__argv[])
{
// Initialization of the parallel environment : thanks this instruction, ParadisEO-PEO can initialize himself
peo :: init( __argc, __argv );
//Parameters
const unsigned int VEC_SIZE = 2; // Don't change this parameter when you are resolving the Rosenbrock function
const unsigned int POP_SIZE = 20; // As with a sequential algorithm, you change the size of the population
const unsigned int MAX_GEN = 300; // Define the number of maximal generation
const double INIT_POSITION_MIN = -2.0; // For initialize x
const double INIT_POSITION_MAX = 2.0; // In the case of the Rosenbrock function : -2 < x[i] < 2
const float CROSS_RATE = 0.8; // Crossover rate
const double EPSILON = 0.01; // Range for real uniform mutation
const float MUT_RATE = 0.3; // Mutation rate
eoParser parser(__argc, __argv);
unsigned int POP_SIZE = parser.createParam((unsigned int)(20), "popSize", "Population size",'P',"Param").value();
unsigned int MAX_GEN = parser.createParam((unsigned int)(100), "maxGen", "Maximum number of generations",'G',"Param").value();
double EPSILON = parser.createParam(0.01, "mutEpsilon", "epsilon for mutation",'e',"Param").value();
double CROSS_RATE = parser.createParam(0.25, "pCross", "Crossover probability",'C',"Param").value();
double MUT_RATE = parser.createParam(0.35, "pMut", "Mutation probability",'M',"Param").value();
unsigned int VEC_SIZE = parser.createParam((unsigned int)(2), "vecSize", "Vector size",'V',"Param").value();
double INIT_POSITION_MIN = parser.createParam(-2.0, "pMin", "Init position min",'N',"Param").value();
double INIT_POSITION_MAX = parser.createParam(2.0, "pMax", "Init position max",'X',"Param").value();
rng.reseed (time(0));
// Stopping
@ -78,11 +76,9 @@ int main (int __argc, char *__argv[])
eoCheckPoint<Indi> checkpoint(continuatorPara);
// For a parallel evaluation
peoEvalFunc<Indi> plainEval(f);
peoPopEval <Indi> eval(plainEval);
// Initialization
eoUniformGenerator < double >uGen (INIT_POSITION_MIN, INIT_POSITION_MAX);
eoInitFixedLength < Indi > random (VEC_SIZE, uGen);
@ -92,8 +88,8 @@ int main (int __argc, char *__argv[])
eoSelectNumber<Indi> select(selectionStrategy,POP_SIZE);
// Transformation
eoSegmentCrossover<Indi> crossover; // Crossover
eoUniformMutation<Indi> mutation(EPSILON); // Mutation
eoSegmentCrossover<Indi> crossover;
eoUniformMutation<Indi> mutation(EPSILON);
eoSGATransform<Indi> transform(crossover,CROSS_RATE,mutation,MUT_RATE);
// Replacement