def fitness(S):
# first the yield
marks = 0
A=st.node_eq_mat(S) # matrix for bar tension
if np.linalg.det(A) == 0: #if the matrix is not invesable say it is a shit structure
return (0,0,100)
B = np.linalg.inv(A) #linear alg for A x (tens|R) = Force
utension = np.dot(B,action_vect(S))#THIS IS THE ACTION VECTOR FOR THE MOMENT
uextension = st.ext_vec(simdata.E,simdata.barref,S,utension)
reactions=3
Yield= tens_yield_check(S,utension)# Basic braking yield
#displacement yield
normtens=list(utension)
for i in xrange(reactions):# getting rid of reactions
normtens.pop()
normtens =np.array(normtens)
n1yield= VW_node1(normtens,uextension,simdata.n1disp,S) #%%timeit =30.8 µs
#colision Yield
C=st.node_disp_mat(S) #matrix of node displacements
if np.linalg.det(C) == 0: #if the matrix is not invesable say it is a shit structure
return (0,0,100)
D=np.linalg.inv(C) # solving the C x dipvars = Evect system
dispv = np.dot(D,uextension)
delta= st.listdipslacements(S,dispv)
cyield= col_yield_check(S,simdata.minP,simdata.maxP,delta)
optyield= abs(simdata.convyield - Yield)/simdata.convyield
if cyield != 'No colision': #avoid out putting 0 if the cyield is False
primitiveyield= min([Yield,n1yield,cyield])
else:
primitiveyield= min([Yield,n1yield])
#now the categorization
if primitiveyield <= 8500:
marks =0
elif n1yield <= 8500 and Yield > 8500 and cyield > 8500:
marks =3
elif primitiveyield > 8500 and Yield < 12000:
marks = 5
elif Yield> 12000 :
marks =7
else:
pass
return (Yield,marks,optyield)
print fPOP[0]
S = fPOP[0][0] #take the supposetly best structure
mod_graph(S)
print 'Done'
########################################Yields#################################
print rt.fitness(S)
print S
A=st.node_eq_mat(S) # for n=3 timing is 'good': 3 microsec
B = np.linalg.inv(A) # 100 microsec //
utension = np.dot(B,rt.action_vect(S))
uextension = st.ext_vec(simdata.E,simdata.barref,S,utension)
reactions=3
#Yield stress
#checking for extention stress
Yield= rt.tens_yield_check(S,utension)
#displacement yield
normtens=list(utension)
for i in xrange(reactions): #keeping only the bars
normtens.pop()
nomtens=np.array(normtens)