unconstrained example

Team25/shape.py

@@ -133,7 +133,6 @@ while it <= maxIter and c.getString('shape/Action') != 'stop':
     # compute objective function and constraints
     c.runSubClient('myGetDP', mygetdp + '-solve GetPerformances')
     objective = np.sum(readSimpleTable(c.getPath('res_opt/w.txt')))
-    constraints = np.array([np.sum(xFromMMA)/np.sum(upperBound)-1.0])
 
     # generate the velocity field of each design variable
     getVelocityField(x)
@@ -146,19 +145,17 @@ while it <= maxIter and c.getString('shape/Action') != 'stop':
     c.waitOnSubClients()
     grad_objective = np.asarray([np.sum(readSimpleTable(c.getPath('res_opt/Grad_w_wrt_dv_'+str(dv)+'.txt')))\
         for dv in xrange(numVariables)])
-    grad_constraints = np.ones(numVariables)/np.sum(upperBound)
 
     print('*'*50)
     print('iteration: ', it)
     print('change: ', change)
     print('current point:', xFromMMA)
     print('objective:', objective)
-    print('constraints:', constraints)
-    c.sendInfo('Optimization: it. {}, obj. {}, constr. {}'.format(it,objective,constraints[0]))
+    c.sendInfo('Optimization: it. {}, obj. {}'.format(it,objective))
 
     # call MMA and update the current point
-    conveks.mma.setMoveLimits(lowerBound, upperBound, 1.0e-3)
-    conveks.mma.updateCurrentPoint(grad_objective,constraints,grad_constraints)
+    conveks.mma.setMoveLimits(lowerBound, upperBound, 0.1)
+    conveks.mma.updateCurrentPoint(grad_objective)
     change = conveks.mma.getDesignChange()
     it = conveks.mma.getOuterIteration()