From 575078ab0d25740563bf279a6dbff5c5368bbe8e Mon Sep 17 00:00:00 2001
From: prasys <pradeesh@prasys.info>
Date: Tue, 8 Oct 2019 10:11:45 +1300
Subject: [PATCH 1/2] Fixed Generation and few other things

---
 Example_GeneticAlgorithm.py   |  20 ++++++--------------
 __pycache__/ga.cpython-37.pyc | Bin 0 -> 1451 bytes
 2 files changed, 6 insertions(+), 14 deletions(-)
 create mode 100644 __pycache__/ga.cpython-37.pyc

diff --git a/Example_GeneticAlgorithm.py b/Example_GeneticAlgorithm.py
index 1f02c1a7..06ecb3f3 100644
--- a/Example_GeneticAlgorithm.py
+++ b/Example_GeneticAlgorithm.py
@@ -1,6 +1,6 @@
 import numpy
 import ga
-
+import matplotlib.pyplot
 """
 The y=target is to maximize this equation ASAP:
     y = w1x1+w2x2+w3x3+w4x4+w5x5+6wx6
@@ -20,26 +20,19 @@
     Mating pool size
     Population size
 """
-sol_per_pop = 8
-num_parents_mating = 4
+sol_per_pop = 16  # matching pool size 
+num_parents_mating = 2 # population size , or the number of parents mating
 
 # Defining the population size.
 pop_size = (sol_per_pop,num_weights) # The population will have sol_per_pop chromosome where each chromosome has num_weights genes.
+print("pop size is",pop_size)
 #Creating the initial population.
 new_population = numpy.random.uniform(low=-4.0, high=4.0, size=pop_size)
 print(new_population)
 
-"""
-new_population[0, :] = [2.4,  0.7, 8, -2,   5,   1.1]
-new_population[1, :] = [-0.4, 2.7, 5, -1,   7,   0.1]
-new_population[2, :] = [-1,   2,   2, -3,   2,   0.9]
-new_population[3, :] = [4,    7,   12, 6.1, 1.4, -4]
-new_population[4, :] = [3.1,  4,   0,  2.4, 4.8,  0]
-new_population[5, :] = [-2,   3,   -7, 6,   3,    3]
-"""
 
 best_outputs = []
-num_generations = 1000
+num_generations = 5000
 for generation in range(num_generations):
     print("Generation : ", generation)
     # Measuring the fitness of each chromosome in the population.
@@ -81,8 +74,7 @@
 print("Best solution : ", new_population[best_match_idx, :])
 print("Best solution fitness : ", fitness[best_match_idx])
 
-
-import matplotlib.pyplot
+#Graph goes here
 matplotlib.pyplot.plot(best_outputs)
 matplotlib.pyplot.xlabel("Iteration")
 matplotlib.pyplot.ylabel("Fitness")
diff --git a/__pycache__/ga.cpython-37.pyc b/__pycache__/ga.cpython-37.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..f96d5122e21de477f83b5ca77806416065af1818
GIT binary patch
literal 1451
zcmZvcO>Y}T7{}*j*LEByaZ{^lL_tV!F^5`IJs=c8fJ$(vtV)0)Rz%CnGq$(&?m9EO
z#i`aO$_@AcoSGw_g6}a`PB|cPMndp^#xDwpS<N%g^UTZ6{`Nof@!npWq5Sap=kv22
z#(tw<QzV>IRC^yrF~w&rVoE6al0{qvDnu((Lp9M#wX1ei`z4P8#Xo2L&Nb$+;Yd(}
zLTd%6pP<@1FeQ7+YhJS+)>Yz1u@tqyJUP7P=<RbCB#YGcg$wg4n_oI<tE?~Gfxf7c
zGA;5r&F58VotzhQ*Bqy1uC4ur8GHo$^K|f~)y59yCQ(}3>EKZ@sxqCIcJTPC;giIm
zckrpsb(xMnnoSCmmecIXWjQVK!6dnl*By+KS&XIQ^~$t=OCP}GAve2dN0g${Ky9M>
zPs`zy>=my?&7KOykJ(sU@uggRQOa6;#~-ot&z1p31T}{ZYktL_(TK1Pl{g08V+Nlg
z0`l+07;!D@U=y7%C4ntGVHa<lp$Eu<p&`nKxXu3h8)fo)_nh?`hW6`1oz2Tj7usnu
z*Df?kK0)*CR2%JNmMk!ic5hlR(Jo-e^TZG;*IYYMd*#IFj1Dkm10_z?!UJC!Qj$Bg
zdZtHZoZ&C!6Cf;R^h@kM3==)R&wISX@1dGQWVQmKJrGGx@h3Q*BIqmyJW+FEsl;o{
z)0}}OSMr#7qF*nAIsos0GIxj{M0mt*WE!5RtmT@hz=(Bpf^l`DmRs8B+eD!J4k(i_
z*OaffsQaPkYdYAg3#&9Q-!t@)W)G&{G`A?fUyR3gZis|UU+8FO8%GBtQ&?L(*9MR<
z+wo`7?h5p~1a=cV_&>@!+sU`_8ry|oye$s#?4#ZjZ*p^loL9!b7;lyO0^OeRTBkMl
zY{lXmu%#T7=jjfYP_E*4*)mw15_g|{xD0WGgIA%FxC;1{ToPj_)ho6^^j8u12DLcC
z?2Gr$*u~r6$-pzbq1p*;pRqrF-8dhv#cO&<d!QbzYe2oK$Xv6^({W+4e$(CF5{<V^
z+#bm|t4e=U*yz^QjYmb5m)bZ<gj*9_0iJbdGs0`UvwBVZJegJczXES<hQ5Wpt;zQw
z>=xe_U4EB$xp^HueeT(BR6;j~7yRnC(1;rg(+M&D__R*4LRB;U0i9+`XR;+)jaIwW
F{Rc?MQceH>

literal 0
HcmV?d00001


From 8eb61db831c05349967f90105152ad50827917cc Mon Sep 17 00:00:00 2001
From: prasys <pradeesh@prasys.info>
Date: Wed, 9 Oct 2019 11:20:49 +1300
Subject: [PATCH 2/2] Update Example_GeneticAlgorithm.py

---
 Example_GeneticAlgorithm.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Example_GeneticAlgorithm.py b/Example_GeneticAlgorithm.py
index 06ecb3f3..968c8146 100644
--- a/Example_GeneticAlgorithm.py
+++ b/Example_GeneticAlgorithm.py
@@ -10,7 +10,7 @@
 """
 
 # Inputs of the equation.
-equation_inputs = [4,-2,3.5,5,-11,-4.7]
+equation_inputs = [0.153,0.068,0.008,0.053,0.073,0.039,0.047,0.005,0.011]
 
 # Number of the weights we are looking to optimize.
 num_weights = len(equation_inputs)