Example #1
0
	def moveRandomly(self, individual, step_length):
		ind = population.Individual()
	
		ind.loadIndividual(individual)
	
		while 1:
			random = nbmath.randomDouble()*0.25
			x_change = math.log(random)/math.log(0.25)*step_length
	
			random = nbmath.randomDouble()*0.25
			y_change = math.log(random)/math.log(0.25)*step_length
	
			if nbmath.randomNumber(100) < 50:
				x_change = 0-x_change
	
			if nbmath.randomNumber(100) < 50:
				y_change = 0-y_change
				
			if self.pixelColourAt(ind.X+x_change,ind.Y+y_change) != (255, 255, 255):
				break;
		
		ind.X += x_change
		ind.Y += y_change
	
		return ind.getIndividual()
Example #2
0
	def moveToward(self, individual, X, Y, distance, deviance):
		ind = population.Individual()
		
		ind.loadIndividual(individual)
		
		k = abs(ind.X-float(X))/abs(ind.Y-float(Y))
		
		a = (0-k+math.sqrt(abs(math.pow(k,2)-8*(math.pow(0-distance,2)+math.pow(k,2)))))/4
		y = a*distance/math.sqrt(math.pow(a,2)+math.pow(a*k,2))
		x = math.sqrt(math.pow(distance,2)-math.pow(y,2))
		
		rand = nbmath.randomNumber(deviance*2)
		rand -= deviance
		
		x_disp = rand
		y_disp = math.sqrt(math.pow(deviance,2)-math.pow(x_disp,2))
		
		x += x_disp
		y += y_disp
		
		if X < ind.X:
			ind.X -= x
		else:
			ind.X += x
		
		if Y < ind.Y:
			ind.Y -= y
		else:
			ind.Y += y
			
		return ind.getIndividual()
Example #3
0
	def produceOffspring(self, mother, father):
		offspring_genotype = []
		
		_mother = population.Individual()
		_father = population.Individual()
		_offspring = population.Individual()
		
		_mother.loadIndividual(mother)
		_father.loadIndividual(father)
		
		_offspring.ID = 0
		#_offspring.Y = 0.0
		#_offspring.X = 0.0
		
		_offspring.ID_father = _father.ID
		_offspring.ID_mother = _mother.ID
		
		if len(_father.genotype) > 1:
			for x in range(0,len(_father.genotype)):
				temp = _father.genotype[x]
			
				if nbmath.randomNumber(100) < 50:
					offspring_genotype.append(temp[0])
				else:
					offspring_genotype.append(temp[1])
				
				temp = _mother.genotype[x]
			
				if nbmath.randomNumber(100) < 50:
					offspring_genotype[x] += temp[0]
				else:
					offspring_genotype[x] += temp[1]
				
			_offspring.genotype = offspring_genotype
		else:
			_offspring.genotype = ''
		
		if nbmath.randomNumber(100) < 50:
			_offspring.gender = 'f'
		else:
			_offspring.gender = 'm'
			
		_offspring.X = _mother.X
		_offspring.Y = _mother.Y
		
		return _offspring.getIndividual()
Example #4
0
	def generateRandomGenotype(self, seed):
		genotype = []
		loci = 0
		alternatives = ''
		length = 0
		temp1 = 0
		temp2 = 0
		
		loci = len(seed)
		
		for x in range(0,loci):
			alternatives = seed[x]
			
			length = len(alternatives)
			
			temp1 = nbmath.randomNumber(length-1)
			temp2 = nbmath.randomNumber(length-1)
			
			genotype.append(alternatives[temp1] + alternatives[temp2])
				
		return genotype
Example #5
0
	def generateIndividual(self, ID_mother, ID_father, age, gender, genes, social, group, X, Y, misc):
		ind = Individual();
		
		if gender == 'r':
			if nbmath.randomNumber(100) < 50:
				g = 'm';
			else:
				g = 'f';
		else:
			g = gender;
		
		_ind = ind.combineVariables(self.getPopulationSize(), ID_mother, ID_father, g, age, genes, social, group, X, Y, misc);
		
		self.insertIndividual(_ind);
Example #6
0
	def returnRandom(self, arguments = None):
		if arguments == None:
			return self.Selected[nbmath.randomNumber(len(self.Selected))-1]
		else:
			pos = 0;
			
			temp_list = self.Selected + self.notSelected
			
			for arg in arguments:
				while pos < len(temp_list):
					ind = temp_list[pos];
				
					if isTrue(arg, ind) == True:
						pos += 1;
					else:
						del(temp_list[pos]);
						
				pos = 0;
				
			if len(temp_list) > 0:
				return temp_list[nbmath.randomNumber(len(temp_list)-1)]
			else:
				return 0
Example #7
0
	def selectRandom(self):
		index = nbmath.randomNumber(len(self.Selected))-1
		self.selectIndividual(index)
		
		return self.selectedIndividual