init of EA for CEAO

application/CMakeLists.txt

@@ -28,7 +28,7 @@ ADD_DEPENDENCIES(tryEval lQueen)
 
 # 3) Link the librairies for your executable
 
-TARGET_LINK_LIBRARIES(ceao ${PARADISEO_LIBRARIES} lQueen lModel)
+TARGET_LINK_LIBRARIES(ceao ${PARADISEO_LIBRARIES} lQueen lModel lEA)
 TARGET_LINK_LIBRARIES(ceao_competency ${PARADISEO_LIBRARIES} lQueen lModel)
 TARGET_LINK_LIBRARIES(ceao_course ${PARADISEO_LIBRARIES} lQueen lModel)
 TARGET_LINK_LIBRARIES(ceao_profession ${PARADISEO_LIBRARIES} lQueen lModel)

application/main.cpp

@@ -7,6 +7,13 @@
 
 #include <model/magnitude.h>
 #include <model/competency.h>
+
+#include <model/ea/cursus.h>
+#include <model/ea/initializer.h>
+#include <model/ea/mutation.h>
+#include <model/ea/crossover.h>
+#include <model/ea/evaluator.h>
+
 #include <model/exception/magnitudeException.h>
 #include <model/exception/competencyEvolvingException.h>
 
@@ -47,73 +54,115 @@ int main(int argc, char* argv[]){
 
   // ================================= END TEST ZONE =====================================
 
-  //Define a QUEEN -> 1 line
-  QUEEN s1;
+  // ================================= CEAO ZONE ===================================
+  Cursus c1;
+  CursusInit init(8,1);
+  CursusEval eval;
+  CursusMutation mut;
+  CursusCrossover xOver;
 
-  //Define an initializer -> 1 line
-  queenInit init(8,1);
+  eoGenContinue<Cursus> cont(100); // runs for 100 gen
+  
+  //xOver, xOver rate, mutation, mutation rate
+  eoSGATransform<Cursus> transform(xOver, 0.1, mut, 0.1);
+  eoDetTournamentSelect<Cursus> selectOne(2); //selection method by tournament, here against 2
+  eoSelectPerc<Cursus> select(selectOne);
+  eoGenerationalReplacement<Cursus> replace;
+  eoPop<Cursus> pop;
+
+  /**@todo make size of the pb accessible as well as size of an individu*/
+  int size_of_the_pb = 100;
+  for(int i = 0; i < size_of_the_pb; i++)
+  {
+    init(c1);
+    eval(c1);
+    pop.push_back(c1);
+  }
 
-  //Define the evaluation function -> 1 line
-  queenEval eval;
+  std::cout << "===== CURRENT POP =====" << std::endl;
+  pop.printOn(std::cout);
+  std::cout << "=====             =====" << std::endl;
 
-  //Define mutation -> 1 line
-  queenMutation mut;
+  eoEasyEA<QUEEN> algo(cont,eval,select,transform,replace);
 
-  //Define crossover -> 1 line
-  queenCrossover cross;
+  algo(pop);
 
-  //Define a generational continuator (put 100 generation for example) -> 1 line
-  eoGenContinue<QUEEN> cont(100);
+  std::cout << "===== BEST INDIVIDU =====" << std::endl;
+  pop.best_element().printOn(std::cout);
+  std::cout << " fitness:" << pop.best_element().fitness() << std::endl;
+  std::cout << "===============" << std::endl;
 
-  //Define the transformation object (it contains, the crossover, the crossover rate, the mutation and the mutation rate) -> 1 line
-  eoSGATransform<QUEEN> transform(cross, 0.1, mut, 0.1);
+  // ================================= END CEAO ZONE ===============================
+  
+  
+  
+  // //Define a QUEEN -> 1 line
+  // QUEEN s1;
 
-  //Define a selection method that selects ONE individual by deterministic tournament(put the tournament size at 2 for example) -> 1 line 
-  eoDetTournamentSelect<QUEEN> selectOne(2);
+  // //Define an initializer -> 1 line
+  // queenInit init(8,1);
 
-  //Define a "eoSelectPerc" with the tournament with default parameter (allow to select the good size of individuals) -> 1 line
-  eoSelectPerc<QUEEN> select(selectOne);
+  // //Define the evaluation function -> 1 line
+  // queenEval eval;
 
-  //Define a generational replacement strategy -> 1 line
-  eoGenerationalReplacement<QUEEN> replace;
+  // //Define mutation -> 1 line
+  // queenMutation mut;
 
-  //Define a pop of QUEEN -> 1 line
-  eoPop<QUEEN> pop;
+  // //Define crossover -> 1 line
+  // queenCrossover cross;
 
-  //Fill the pop with 100 initialized and evaluated QUEEN
-  //Use the initializer, the evaluation function and the push_back operator's vector -> A "for" included three insrtuctions
-  for(unsigned int i=0; i<100; i++){
-    init(s1);
-    eval(s1);
-    pop.push_back(s1);
-  }
+  // //Define a generational continuator (put 100 generation for example) -> 1 line
+  // eoGenContinue<QUEEN> cont(100);
+
+  // //Define the transformation object (it contains, the crossover, the crossover rate, the mutation and the mutation rate) -> 1 line
+  // eoSGATransform<QUEEN> transform(cross, 0.1, mut, 0.1);
+
+  // //Define a selection method that selects ONE individual by deterministic tournament(put the tournament size at 2 for example) -> 1 line 
+  // eoDetTournamentSelect<QUEEN> selectOne(2);
+
+  // //Define a "eoSelectPerc" with the tournament with default parameter (allow to select the good size of individuals) -> 1 line
+  // eoSelectPerc<QUEEN> select(selectOne);
+
+  // //Define a generational replacement strategy -> 1 line
+  // eoGenerationalReplacement<QUEEN> replace;
+
+  // //Define a pop of QUEEN -> 1 line
+  // eoPop<QUEEN> pop;
+
+  // //Fill the pop with 100 initialized and evaluated QUEEN
+  // //Use the initializer, the evaluation function and the push_back operator's vector -> A "for" included three insrtuctions
+  // for(unsigned int i=0; i<100; i++){
+  //   init(s1);
+  //   eval(s1);
+  //   pop.push_back(s1);
+  // }
   
-  //Print the pop -> 1 line
-  pop.printOn(std::cout);
+  // //Print the pop -> 1 line
+  // pop.printOn(std::cout);
 
   //HERE you can test whether you succeded in initializing the population by compiling and executing this part of the program.
   
   //Print end of line (endl)
-  std::cout << std::endl;
+  // std::cout << std::endl;
   
-  /*Define an eoEasyEA with good parameter:
-    - continuator
-    - evaluation function
-    - eoSelectPerc
-    - transformation object
-    - replacement
-   */
-  // -> 1 line
-  eoEasyEA<QUEEN> algo(cont,eval,select,transform,replace);
+  // /*Define an eoEasyEA with good parameter:
+  //   - continuator
+  //   - evaluation function
+  //   - eoSelectPerc
+  //   - transformation object
+  //   - replacement
+  //  */
+  // // -> 1 line
+  // eoEasyEA<QUEEN> algo(cont,eval,select,transform,replace);
 
-  //run the algorithm on the initialized population -> 1 line
-  algo(pop);
+  // //run the algorithm on the initialized population -> 1 line
+  // algo(pop);
 
-  //Print the best element -> 1 line
-  pop.best_element().printOn(std::cout);
+  // //Print the best element -> 1 line
+  // pop.best_element().printOn(std::cout);
 
-  //If the fitness value is equal to 0, the best solution is found. Else try again.
+  // //If the fitness value is equal to 0, the best solution is found. Else try again.
 
-  std::cout << std::endl;  
+  // std::cout << std::endl;  
   return EXIT_SUCCESS;
 }

src/model/CMakeLists.txt

@@ -14,4 +14,5 @@ SET (EXERCICE_SOURCES
 ADD_LIBRARY(lModel STATIC ${EXERCICE_SOURCES})
 
 add_subdirectory(exception)
-add_subdirectory(scale)
\ No newline at end of file
+add_subdirectory(scale)
+add_subdirectory(ea)
\ No newline at end of file

src/model/ea/CMakeLists.txt

+INCLUDE_DIRECTORIES(${CMAKE_SOURCE_DIR}/ea)
+include_directories(${PARADISEO_INCLUDE_DIR})
+
+SET(LIBRARY_OUTPUT_PATH ${CMAKE_BINARY_DIR}/lib)
+
+SET (EXERCICE_SOURCES
+  evaluator.cpp
+)
+
+ADD_LIBRARY(lEA STATIC ${EXERCICE_SOURCES})
\ No newline at end of file

src/model/ea/crossover.h

+#ifndef SRC_MODEL_EA_CROSSOVER_H_
+#define SRC_MODEL_EA_CROSSOVER_H_
+
+#include <eoOrderXover.h>
+
+#include "cursus.h"
+
+typedef eoOrderXover<Cursus> CursusCrossover;
+
+#endif // SRC_MODEL_EA_CROSSOVER_H_
\ No newline at end of file

src/model/ea/cursus.h

+#ifndef SRC_MODEL_EA_CURSUS_H_
+#define SRC_MODEL_EA_CURSUS_H_
+
+#include <eoInt.h>
+#include <eoScalarFitness.h>
+
+
+/**
+ * Represents a cursus of a student. It is equivalent to an individu in a EA.
+ * Here, it is defined as an eoVector of int: eoInt with a "eoMinimizingFitness" template. Each int represents a course.
+ * In version 1, the representation is based on the course's ID. In further version, this could become deprecated and be based on the course's position inside the problem's vector.
+ * @version 1
+ */ 
+
+typedef eoInt<eoMinimizingFitness> Cursus;
+#endif // SRC_MODEL_EA_CURSUS_H_
\ No newline at end of file

src/model/ea/evaluator.cpp

+#include "evaluator.h"
+
+void CursusEval::operator()(Cursus & _cursus){
+  double fit=0.0;
+  
+  fit = 1.0;
+  _cursus.fitness(fit);
+}

src/model/ea/evaluator.h

+#ifndef SRC_MODEL_EA_EVALUATOR_H_
+#define SRC_MODEL_EA_EVALUATOR_H_
+
+#include <eoEvalFunc.h>
+
+#include "cursus.h"
+
+class CursusEval : public eoEvalFunc<Cursus>
+{
+public:
+    void operator()(Cursus & _cursus);
+};
+
+#endif // SRC_MODEL_EA_EVALUATOR_H_
\ No newline at end of file

src/model/ea/initializer.h

+#ifndef SRC_MODEL_EA_INITIALIZER_H_
+#define SRC_MODEL_EA_INITIALIZER_H_
+
+#include <eoInit.h>
+
+#include "cursus.h"
+
+typedef eoInitPermutation<Cursus> CursusInit;
+
+#endif // SRC_MODEL_EA_INITIALIZER_H_
\ No newline at end of file

src/model/ea/mutation.h

+#ifndef SRC_MODEL_EA_MUTATION_H_
+#define SRC_MODEL_EA_MUTATION_H_
+
+#include <eoSwapMutation.h>
+#include <eoShiftMutation.h>
+
+#include "cursus.h"
+
+typedef eoSwapMutation<Cursus> CursusMutation;
+
+#endif // SRC_MODEL_EA_MUTATION_H_
\ No newline at end of file

src/model/parcours.h

-#ifndef SRC_MODEL_PARCOURS_H_
-#define SRC_MODEL_PARCOURS_H_
-
-/**
- * Represents a cursus of a student. It is equivalent to an individu in a EA.
- */ 
-
-#endif // SRC_MODEL_PARCOURS_H_
\ No newline at end of file