final changes

dannyi96 · May 9, 2019 · 0f7ec42 · 0f7ec42
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Showing 3 changed files with 3 additions and 3 deletions.
diff --git a/examples/tutorial.md b/examples/tutorial.md
@@ -70,7 +70,7 @@ Other parameters of `GAEngine` include
 * `adaptive_mutation`: which is a Boolean which decides if adaptive mutation is to be used(default: True) 
 * `population_control`: which is a Boolean which decides whether or not the GAEngine should ensure that the population size remains the same in every evolution iteration. This ensures that any error/issue in user's custom selection or evolution code doesn't cause population size to change. (default: False)
 * `hall_of_fame_injection`: which is a boolean used to carry out the injection of the best chromosome encountered so far in every 20 generations. (default: True)
-* `efficient_iteration_halt`: which is a boolean used to carry out efficient_iteration_halt optimization. It stops evolving if same best fitness value is encountered for 20 consecutive generations (default: True)
+* `efficient_iteration_halt`: which is a boolean used to carry out efficient_iteration_halt optimization. It stops evolving if same best fitness value is encountered for 20 consecutive generations (default: False)
 * `use_pyspark`: which is a boolean used to decide if sequential execution is to be carried out or parallel execution on Apache Spark is to be carried out (default: False)
 
 ### 1.3 Crossovers, Mutations and Selection Functions

diff --git a/pygenetic/GAEngine.py b/pygenetic/GAEngine.py
@@ -153,7 +153,7 @@ class GAEngine:
   	"""
 
 
-	def __init__(self,factory,population_size=100,cross_prob=0.7,mut_prob=0.1,fitness_type='max',adaptive_mutation=True, population_control=False,hall_of_fame_injection=True,efficient_iteration_halt=True,use_pyspark=False):
+	def __init__(self,factory,population_size=100,cross_prob=0.7,mut_prob=0.1,fitness_type='max',adaptive_mutation=True, population_control=False,hall_of_fame_injection=True,efficient_iteration_halt=False,use_pyspark=False):
 		self.fitness_func = None
 		self.factory = factory
 		self.cross_prob = cross_prob

diff --git a/setup.py b/setup.py
@@ -5,7 +5,7 @@
 
 setuptools.setup(
     name="pygenetic",
-    version="1.0.1",
+    version="1.0.2",
     author="Bharatraj S Telkar, Daniel Isaac, Shreyas V Patil",
     author_email="telkarraj@gmail.com, danielbcbs2@gmail.com, pshreyasv100@gmail.com",
     description="An Efficient Python Genetic Algorithm API",