STD.tpl 15.5 KB
Newer Older
kruger's avatar
kruger committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
\TEMPLATE_START
/**
 This is program entry for STD template for EASEA

*/

\ANALYSE_PARAMETERS
#include <stdlib.h>
#include <iostream>
#include <time.h>
#include "COptionParser.h"
#include "CRandomGenerator.h"
#include "CEvolutionaryAlgorithm.h"
#include "global.h"
#include "EASEAIndividual.hpp"

using namespace std;

/** Global variables for the whole algorithm */
CIndividual** pPopulation = NULL;
CIndividual*  bBest = NULL;
float* pEZ_MUT_PROB = NULL;
float* pEZ_XOVER_PROB = NULL;
Ogier Maitre's avatar
Ogier Maitre committed
24
25
unsigned *EZ_NB_GEN;
unsigned *EZ_current_generation;
26
27
28
int EZ_POP_SIZE;
int OFFSPRING_SIZE;

kruger's avatar
kruger committed
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
CEvolutionaryAlgorithm* EA;

int main(int argc, char** argv){


	parseArguments("EASEA.prm",argc,argv);

	ParametersImpl p;
	p.setDefaultParameters(argc,argv);
	CEvolutionaryAlgorithm* ea = p.newEvolutionaryAlgorithm();

	EA = ea;

	EASEAInit(argc,argv);

	CPopulation* pop = ea->getPopulation();

	ea->runEvolutionaryLoop();

	EASEAFinal(pop);

	delete pop;


	return 0;
}

\START_CUDA_GENOME_CU_TPL

#include <fstream>
#include <time.h>
#include <string>
#include <sstream>
#include "CRandomGenerator.h"
#include "CPopulation.h"
#include "COptionParser.h"
#include "CStoppingCriterion.h"
#include "CEvolutionaryAlgorithm.h"
#include "global.h"
#include "CIndividual.h"

using namespace std;

#include "EASEAIndividual.hpp"
bool INSTEAD_EVAL_STEP = false;

CRandomGenerator* globalRandomGenerator;
extern CEvolutionaryAlgorithm* EA;
#define STD_TPL

\INSERT_USER_DECLARATIONS
\ANALYSE_USER_CLASSES

\INSERT_USER_CLASSES

\INSERT_USER_FUNCTIONS

\INSERT_INITIALISATION_FUNCTION
\INSERT_FINALIZATION_FUNCTION


void evale_pop_chunk(CIndividual** population, int popSize){
  \INSTEAD_EVAL_FUNCTION
}

void EASEAInit(int argc, char** argv){
	\INSERT_INIT_FCT_CALL
}

void EASEAFinal(CPopulation* pop){
	\INSERT_FINALIZATION_FCT_CALL;
}

void AESAEBeginningGenerationFunction(CEvolutionaryAlgorithm* evolutionaryAlgorithm){
	\INSERT_BEGIN_GENERATION_FUNCTION
}

void AESAEEndGenerationFunction(CEvolutionaryAlgorithm* evolutionaryAlgorithm){
	\INSERT_END_GENERATION_FUNCTION
}

void AESAEGenerationFunctionBeforeReplacement(CEvolutionaryAlgorithm* evolutionaryAlgorithm){
	\INSERT_GENERATION_FUNCTION_BEFORE_REPLACEMENT
}


IndividualImpl::IndividualImpl() : CIndividual() {
  \GENOME_CTOR 
  \INSERT_EO_INITIALISER
  valid = false;
Frédéric Krüger's avatar
Frédéric Krüger committed
119
  isImmigrant = false;
kruger's avatar
kruger committed
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
}

CIndividual* IndividualImpl::clone(){
	return new IndividualImpl(*this);
}

IndividualImpl::~IndividualImpl(){
  \GENOME_DTOR
}


float IndividualImpl::evaluate(){
  if(valid)
    return fitness;
  else{
    valid = true;
    \INSERT_EVALUATOR
  }
}

Frederic Kruger's avatar
Frederic Kruger committed
140
141
142
143
void IndividualImpl::boundChecking(){
	\INSERT_BOUND_CHECKING
}

kruger's avatar
kruger committed
144
145
146
string IndividualImpl::serialize(){
    ostringstream AESAE_Line(ios_base::app);
    \GENOME_SERIAL
147
    AESAE_Line << this->fitness;
kruger's avatar
kruger committed
148
149
150
151
152
153
154
    return AESAE_Line.str();
}

void IndividualImpl::deserialize(string Line){
    istringstream AESAE_Line(Line);
    string line;
    \GENOME_DESERIAL
155
156
    AESAE_Line >> this->fitness;
    this->valid=true;
Frédéric Krüger's avatar
Frédéric Krüger committed
157
    this->isImmigrant = false;
kruger's avatar
kruger committed
158
159
160
161
162
163
164
165
166
167
168
169
170
}

IndividualImpl::IndividualImpl(const IndividualImpl& genome){

  // ********************
  // Problem specific part
  \COPY_CTOR


  // ********************
  // Generic part
  this->valid = genome.valid;
  this->fitness = genome.fitness;
Frédéric Krüger's avatar
Frédéric Krüger committed
171
  this->isImmigrant = false;
kruger's avatar
kruger committed
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
}


CIndividual* IndividualImpl::crossover(CIndividual** ps){
	// ********************
	// Generic part
	IndividualImpl** tmp = (IndividualImpl**)ps;
	IndividualImpl parent1(*this);
	IndividualImpl parent2(*tmp[0]);
	IndividualImpl child(*this);

	//DEBUG_PRT("Xover");
	/*   cout << "p1 : " << parent1 << endl; */
	/*   cout << "p2 : " << parent2 << endl; */

	// ********************
	// Problem specific part
  	\INSERT_CROSSOVER


	child.valid = false;
	/*   cout << "child : " << child << endl; */
	return new IndividualImpl(child);
}


void IndividualImpl::printOn(std::ostream& os) const{
	\INSERT_DISPLAY
}

std::ostream& operator << (std::ostream& O, const IndividualImpl& B)
{
  // ********************
  // Problem specific part
  O << "\nIndividualImpl : "<< std::endl;
  O << "\t\t\t";
  B.printOn(O);

  if( B.valid ) O << "\t\t\tfitness : " << B.fitness;
  else O << "fitness is not yet computed" << std::endl;
  return O;
}


Ogier Maitre's avatar
Ogier Maitre committed
216
unsigned IndividualImpl::mutate( float pMutationPerGene ){
kruger's avatar
kruger committed
217
218
219
220
221
222
223
224
225
226
227
228
  this->valid=false;


  // ********************
  // Problem specific part
  \INSERT_MUTATOR
}

void ParametersImpl::setDefaultParameters(int argc, char** argv){

	this->minimizing = \MINIMAXI;
	this->nbGen = setVariable("nbGen",(int)\NB_GEN);
229
230
231
232
233

	seed = setVariable("seed",(int)time(0));
	globalRandomGenerator = new CRandomGenerator(seed);
	this->randomGenerator = globalRandomGenerator;

kruger's avatar
kruger committed
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294

	selectionOperator = getSelectionOperator(setVariable("selectionOperator","\SELECTOR_OPERATOR"), this->minimizing, globalRandomGenerator);
	replacementOperator = getSelectionOperator(setVariable("reduceFinalOperator","\RED_FINAL_OPERATOR"),this->minimizing, globalRandomGenerator);
	parentReductionOperator = getSelectionOperator(setVariable("reduceParentsOperator","\RED_PAR_OPERATOR"),this->minimizing, globalRandomGenerator);
	offspringReductionOperator = getSelectionOperator(setVariable("reduceOffspringOperator","\RED_OFF_OPERATOR"),this->minimizing, globalRandomGenerator);
	selectionPressure = setVariable("selectionPressure",(float)\SELECT_PRM);
	replacementPressure = setVariable("reduceFinalPressure",(float)\RED_FINAL_PRM);
	parentReductionPressure = setVariable("reduceParentsPressure",(float)\RED_PAR_PRM);
	offspringReductionPressure = setVariable("reduceOffspringPressure",(float)\RED_OFF_PRM);
	pCrossover = \XOVER_PROB;
	pMutation = \MUT_PROB;
	pMutationPerGene = 0.05;

	parentPopulationSize = setVariable("popSize",(int)\POP_SIZE);
	offspringPopulationSize = setVariable("nbOffspring",(int)\OFF_SIZE);


	parentReductionSize = setReductionSizes(parentPopulationSize, setVariable("survivingParents",(float)\SURV_PAR_SIZE));
	offspringReductionSize = setReductionSizes(offspringPopulationSize, setVariable("survivingOffspring",(float)\SURV_OFF_SIZE));

	this->elitSize = setVariable("elite",(int)\ELITE_SIZE);
	this->strongElitism = setVariable("eliteType",(int)\ELITISM);

	if((this->parentReductionSize + this->offspringReductionSize) < this->parentPopulationSize){
		printf("*WARNING* parentReductionSize + offspringReductionSize < parentPopulationSize\n");
		printf("*WARNING* change Sizes in .prm or .ez\n");
		printf("EXITING\n");
		exit(1);	
	} 
	if((this->parentPopulationSize-this->parentReductionSize)>this->parentPopulationSize-this->elitSize){
		printf("*WARNING* parentPopulationSize - parentReductionSize > parentPopulationSize - elitSize\n");
		printf("*WARNING* change Sizes in .prm or .ez\n");
		printf("EXITING\n");
		exit(1);	
	} 
	if(!this->strongElitism && ((this->offspringPopulationSize - this->offspringReductionSize)>this->offspringPopulationSize-this->elitSize)){
		printf("*WARNING* offspringPopulationSize - offspringReductionSize > offspringPopulationSize - elitSize\n");
		printf("*WARNING* change Sizes in .prm or .ez\n");
		printf("EXITING\n");
		exit(1);	
	} 
	

	/*
	 * The reduction is set to true if reductionSize (parent or offspring) is set to a size less than the
	 * populationSize. The reduction size is set to populationSize by default
	 */
	if(offspringReductionSize<offspringPopulationSize) offspringReduction = true;
	else offspringReduction = false;

	if(parentReductionSize<parentPopulationSize) parentReduction = true;
	else parentReduction = false;

	generationalCriterion = new CGenerationalCriterion(setVariable("nbGen",(int)\NB_GEN));
	controlCStopingCriterion = new CControlCStopingCriterion();
	timeCriterion = new CTimeCriterion(setVariable("timeLimit",\TIME_LIMIT));

	this->optimise = 0;

	this->printStats = setVariable("printStats",\PRINT_STATS);
	this->generateCSVFile = setVariable("generateCSVFile",\GENERATE_CSV_FILE);
Frédéric Krüger's avatar
Frédéric Krüger committed
295
	this->generatePlotScript = setVariable("generatePlotScript",\GENERATE_GNUPLOT_SCRIPT);
kruger's avatar
kruger committed
296
297
298
299
300
301
302
303
304
305
306
	this->generateRScript = setVariable("generateRScript",\GENERATE_R_SCRIPT);
	this->plotStats = setVariable("plotStats",\PLOT_STATS);
	this->printInitialPopulation = setVariable("printInitialPopulation",0);
	this->printFinalPopulation = setVariable("printFinalPopulation",0);
	this->savePopulation = setVariable("savePopulation",\SAVE_POPULATION);
	this->startFromFile = setVariable("startFromFile",\START_FROM_FILE);

	this->outputFilename = (char*)"EASEA";
	this->plotOutputFilename = (char*)"EASEA.png";

	this->remoteIslandModel = setVariable("remoteIslandModel",\REMOTE_ISLAND_MODEL);
307
308
309
310
	std::string* ipFilename=new std::string();
	*ipFilename=setVariable("ipFile","\IP_FILE");

	this->ipFile =(char*)ipFilename->c_str();
311
	this->migrationProbability = setVariable("migrationProbability",(float)\MIGRATION_PROBABILITY);
Frédéric Krüger's avatar
Frédéric Krüger committed
312
    this->serverPort = setVariable("serverPort",\SERVER_PORT);
kruger's avatar
kruger committed
313
314
315
316
317
318
}

CEvolutionaryAlgorithm* ParametersImpl::newEvolutionaryAlgorithm(){

	pEZ_MUT_PROB = &pMutationPerGene;
	pEZ_XOVER_PROB = &pCrossover;
319
	//EZ_NB_GEN = (unsigned*)setVariable("nbGen",\NB_GEN);
kruger's avatar
kruger committed
320
	EZ_current_generation=0;
321
322
  EZ_POP_SIZE = parentPopulationSize;
  OFFSPRING_SIZE = offspringPopulationSize;
kruger's avatar
kruger committed
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345

	CEvolutionaryAlgorithm* ea = new EvolutionaryAlgorithmImpl(this);
	generationalCriterion->setCounterEa(ea->getCurrentGenerationPtr());
	ea->addStoppingCriterion(generationalCriterion);
	ea->addStoppingCriterion(controlCStopingCriterion);
	ea->addStoppingCriterion(timeCriterion);	

	EZ_NB_GEN=((CGenerationalCriterion*)ea->stoppingCriteria[0])->getGenerationalLimit();
	EZ_current_generation=&(ea->currentGeneration);

	 return ea;
}

void EvolutionaryAlgorithmImpl::initializeParentPopulation(){
	if(this->params->startFromFile){
	  ifstream AESAE_File("EASEA.pop");
	  string AESAE_Line;
  	  for( unsigned int i=0 ; i< this->params->parentPopulationSize ; i++){
	  	  getline(AESAE_File, AESAE_Line);
		  this->population->addIndividualParentPopulation(new IndividualImpl(),i);
		  ((IndividualImpl*)this->population->parents[i])->deserialize(AESAE_Line);
	  }
	  
346
	}
kruger's avatar
kruger committed
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
	else{
  	  for( unsigned int i=0 ; i< this->params->parentPopulationSize ; i++){
		  this->population->addIndividualParentPopulation(new IndividualImpl(),i);
	  }
	}
        this->population->actualParentPopulationSize = this->params->parentPopulationSize;
}


EvolutionaryAlgorithmImpl::EvolutionaryAlgorithmImpl(Parameters* params) : CEvolutionaryAlgorithm(params){
	;
}

EvolutionaryAlgorithmImpl::~EvolutionaryAlgorithmImpl(){

}

\START_CUDA_GENOME_H_TPL

#ifndef PROBLEM_DEP_H
#define PROBLEM_DEP_H

//#include "CRandomGenerator.h"
#include <stdlib.h>
#include <iostream>
#include <CIndividual.h>
#include <Parameters.h>
kruger's avatar
kruger committed
374
#include <string>
kruger's avatar
kruger committed
375
376
377
378
379
380
381
382
383
384

using namespace std;

class CRandomGenerator;
class CSelectionOperator;
class CGenerationalCriterion;
class CEvolutionaryAlgorithm;
class CPopulation;
class Parameters;

385
386
387
extern int EZ_POP_SIZE;
extern int OFFSPRING_SIZE;

kruger's avatar
kruger committed
388
389
390
391
392
393
394
395
396
397
398
399
400
401
\INSERT_USER_CLASSES_DEFINITIONS

class IndividualImpl : public CIndividual {

public: // in EASEA the genome is public (for user functions,...)
	// Class members
  	\INSERT_GENOME


public:
	IndividualImpl();
	IndividualImpl(const IndividualImpl& indiv);
	virtual ~IndividualImpl();
	float evaluate();
Ogier Maitre's avatar
Ogier Maitre committed
402
	static unsigned getCrossoverArrity(){ return 2; }
kruger's avatar
kruger committed
403
404
405
406
407
	float getFitness(){ return this->fitness; }
	CIndividual* crossover(CIndividual** p2);
	void printOn(std::ostream& O) const;
	CIndividual* clone();

Ogier Maitre's avatar
Ogier Maitre committed
408
	unsigned mutate(float pMutationPerGene);
Frederic Kruger's avatar
Frederic Kruger committed
409
410
411

	void boundChecking();      

kruger's avatar
kruger committed
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
	string serialize();
	void deserialize(string AESAE_Line);

	friend std::ostream& operator << (std::ostream& O, const IndividualImpl& B) ;
	void initRandomGenerator(CRandomGenerator* rg){ IndividualImpl::rg = rg;}

};


class ParametersImpl : public Parameters {
public:
	void setDefaultParameters(int argc, char** argv);
	CEvolutionaryAlgorithm* newEvolutionaryAlgorithm();
};

/**
 * @TODO ces functions devraient s'appeler weierstrassInit, weierstrassFinal etc... (en gros EASEAFinal dans le tpl).
 *
 */

void EASEAInit(int argc, char** argv);
void EASEAFinal(CPopulation* pop);
void EASEABeginningGenerationFunction(CEvolutionaryAlgorithm* evolutionaryAlgorithm);
void EASEAEndGenerationFunction(CEvolutionaryAlgorithm* evolutionaryAlgorithm);
void EASEAGenerationFunctionBeforeReplacement(CEvolutionaryAlgorithm* evolutionaryAlgorithm);


class EvolutionaryAlgorithmImpl: public CEvolutionaryAlgorithm {
public:
	EvolutionaryAlgorithmImpl(Parameters* params);
	virtual ~EvolutionaryAlgorithmImpl();
	void initializeParentPopulation();
};

#endif /* PROBLEM_DEP_H */

\START_CUDA_MAKEFILE_TPL

UNAME := $(shell uname)

Frédéric Krüger's avatar
Frédéric Krüger committed
452
453
454
455
456
457
458
459
ifeq ($(shell uname -o 2>/dev/null),Msys)
	OS := MINGW
endif

ifneq ("$(OS)","")
	EZ_PATH=../../
endif

Ogier Maitre's avatar
Ogier Maitre committed
460
EASEALIB_PATH=$(EZ_PATH)/libeasea/
kruger's avatar
kruger committed
461

462
CXXFLAGS =  -fopenmp	-O2 -g -Wall -fmessage-length=0 -I$(EASEALIB_PATH)include -I$(EZ_PATH)boost
kruger's avatar
kruger committed
463
464
465

OBJS = EASEA.o EASEAIndividual.o 

466
LIBS = -lpthread -fopenmp 
Frédéric Krüger's avatar
Frédéric Krüger committed
467
468
469
ifneq ("$(OS)","")
	LIBS += -lws2_32 -lwinmm -L"C:\MinGW\lib"
endif
kruger's avatar
kruger committed
470

471
472
473
474
#USER MAKEFILE OPTIONS :
\INSERT_MAKEFILE_OPTION
#END OF USER MAKEFILE OPTIONS

kruger's avatar
kruger committed
475
476
477
TARGET =	EASEA

$(TARGET):	$(OBJS)
Frédéric Krüger's avatar
Frédéric Krüger committed
478
	$(CXX) -o $(TARGET) $(OBJS) $(LDFLAGS) -g $(EASEALIB_PATH)/libeasea.a $(EZ_PATH)boost/program_options.a $(LIBS)
kruger's avatar
kruger committed
479
480
481
482
483
484
485

	
#%.o:%.cpp
#	$(CXX) -c $(CXXFLAGS) $^

all:	$(TARGET)
clean:
Frédéric Krüger's avatar
Frédéric Krüger committed
486
487
488
ifneq ("$(OS)","")
	-del $(OBJS) $(TARGET).exe
else
kruger's avatar
kruger committed
489
	rm -f $(OBJS) $(TARGET)
Frédéric Krüger's avatar
Frédéric Krüger committed
490
endif
kruger's avatar
kruger committed
491
easeaclean:
Frédéric Krüger's avatar
Frédéric Krüger committed
492
493
494
ifneq ("$(OS)","")
	-del $(TARGET).exe *.o *.cpp *.hpp EASEA.png EASEA.dat EASEA.prm EASEA.mak Makefile EASEA.vcproj EASEA.csv EASEA.r EASEA.plot EASEA.pop
else
kruger's avatar
kruger committed
495
	rm -f $(TARGET) *.o *.cpp *.hpp EASEA.png EASEA.dat EASEA.prm EASEA.mak Makefile EASEA.vcproj EASEA.csv EASEA.r EASEA.plot EASEA.pop
Frédéric Krüger's avatar
Frédéric Krüger committed
496
endif
kruger's avatar
kruger committed
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530

\START_EO_PARAM_TPL#****************************************
#                                         
#  EASEA.prm
#                                         
#  Parameter file generated by STD.tpl AESAE v1.0
#                                         
#***************************************
# --seed=0   # -S : Random number seed. It is possible to give a specific seed.

######    Evolution Engine    ######
--popSize=\POP_SIZE # -P : Population Size
--nbOffspring=\OFF_SIZE # -O : Nb of offspring (percentage or absolute)

######	  Stopping Criterions    #####
--nbGen=\NB_GEN #Nb of generations
--timeLimit=\TIME_LIMIT # Time Limit: desactivate with (0) (in Seconds)

######    Evolution Engine / Replacement    ######
--elite=\ELITE_SIZE  # Nb of elite parents (absolute)
--eliteType=\ELITISM # Strong (1) or weak (0) elitism (set elite to 0 for none)
--survivingParents=\SURV_PAR_SIZE # Nb of surviving parents (percentage or absolute)
--survivingOffspring=\SURV_OFF_SIZE  # Nb of surviving offspring (percentage or absolute)
--selectionOperator=\SELECTOR_OPERATOR # Selector: Deterministic, Tournament, Random, Roulette 
--selectionPressure=\SELECT_PRM
--reduceParentsOperator=\RED_PAR_OPERATOR 
--reduceParentsPressure=\RED_PAR_PRM
--reduceOffspringOperator=\RED_OFF_OPERATOR 
--reduceOffspringPressure=\RED_OFF_PRM
--reduceFinalOperator=\RED_FINAL_OPERATOR
--reduceFinalPressure=\RED_FINAL_PRM

#####	Stats Ouput 	#####
--printStats=\PRINT_STATS #print Stats to screen
Frédéric Krüger's avatar
Frédéric Krüger committed
531
--plotStats=\PLOT_STATS #plot Stats
kruger's avatar
kruger committed
532
533
534
--printInitialPopulation=0 #Print initial population
--printFinalPopulation=0 #Print final population
--generateCSV=\GENERATE_CSV_FILE
Frédéric Krüger's avatar
Frédéric Krüger committed
535
--generatePlotScript=\GENERATE_GNUPLOT_SCRIPT
kruger's avatar
kruger committed
536
537
538
539
540
--generateRScript=\GENERATE_R_SCRIPT

#### Population save	####
--savePopulation=\SAVE_POPULATION #save population to EASEA.pop file
--startFromFile=\START_FROM_FILE #start optimisation from EASEA.pop file
kruger's avatar
kruger committed
541
542
543
544

#### Remote Island Model ####
--remoteIslandModel=\REMOTE_ISLAND_MODEL #To initialize communications with remote AESAE's
--ipFile=\IP_FILE
545
--migrationProbability=\MIGRATION_PROBABILITY #Probability to send an individual every generation
Frédéric Krüger's avatar
Frédéric Krüger committed
546
--serverPort=\SERVER_PORT
kruger's avatar
kruger committed
547
\TEMPLATE_END