Results

The Optimization Cost vs. Iteration Plot

The plot below shows the decrease in the cost function as the optimizer changes the design to minimize the error. Note that the ordinate is plotted on a log scale to show the lower values. The optimizer required 17 iterations. The initial error in the RMS2 metric was64.707. At convergence the RMS2 error was 3.11e-03.



Figure 1.

Camber vs. Ride Height

The plot below shows the decrease in the cost function as the optimizer changes the design to minimize the error. Note that the ordinate is plotted on a log scale to show the lower values. The optimizer required 17 iterations. The initial error in the RMS2 metric was64.707. At convergence the RMS2 error was 3.11e-03.


Figure 2.

Optimization Summary Log File

OPTIMIZATION HISTORY FILE
Version 0.1


************************************************************************
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** All Rights Reserved.  Copyright notice does not imply publication. **
** Contains trade secrets of Altair Engineering, Inc.                 **
** Decompilation or disassembly of this software strictly prohibited. **
************************************************************************

Date             : 23/01/2017
Time             : 12:57:16
Python Version   : 2.7.6 | 64-bit | (default, Jun  4 2014, 16:42:26) 
[GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]

Input File       : /Users/rajivr/Desktop/test/mv3010.py
Output Directory : /Users/rajivr/Desktop/test/test-mv3010_125716
Summary File     : /Users/rajivr/Desktop/test/test-mv3010_125716/summary.log
Design Log File  : /Users/rajivr/Desktop/test/test-mv3010_125716/design.log

Optimizer Settings
------------------
Algorithm        : FMIN_SLSQP
Max. # iterations: 50
Accuracy         : 1.000e-04

Simulation Settings 
------------------- 
Analysis         : STATICS
End Time         : 4.0
DTout            : 0.04
DSA              : AUTO

Iteration #   Cost #    Objective       Mag(Slope)
--------------------------------------------------
   1             1      6.4707e+01      2.0447e+01
   2             3      2.2143e+01      1.4041e+00
   3             4      1.9742e+01      1.5573e+00
   4             5      8.5020e+00      1.7302e+00
   5             6      9.7136e-01      4.0295e-01
   6             7      8.3504e-01      2.3386e-01
   7             8      4.4158e-01      5.9849e-01
   8             9      3.9598e-01      2.3927e-01
   9            10      3.9180e-01      1.7912e-02
  10            11      3.9123e-01      1.2616e-02
  11            12      3.8803e-01      1.1790e-02
  12            13      3.7223e-01      1.2267e-02
  13            14      3.0082e-01      1.1340e-02
  14            15      8.8214e-02      3.0133e-02
  15            16      1.1937e-02      3.9872e-02
  16            17      3.8547e-03      8.3153e-03
  17            18      3.1055e-03      3.0780e-03

Optimization terminated successfully.

Results from Optimization
-------------------------
Initial Cost   = 64.707
Final Cost     = 0.003
Cost reduction = 99.995

Individual Responses
--------------------
Weight = 1.00 Final cost of objective Area Error = 0.003    

Final Design Table
------------------

DV                Lower Bound        Upper Bound        Initial Value      Optimized Value
------------------------------------------------------------------------------------------
OTB-left-y        -6.5115e+02        -5.5115e+02        -5.6515e+02        -6.3601e+02
OTB-left-z        +1.9092e+02        +2.5092e+02        +2.4892e+02        +1.9695e+02
ITB-left-y        -2.9890e+02        -2.0990e+02        -2.1590e+02        -2.9391e+02
ITB-left-z        +2.3086e+02        +2.7886e+02        +2.7686e+02        +2.3161e+02

Elapsed Time for job                       = 27.09 seconds
  Time in Cost function                    = 12.35 seconds
  Time in Sensitivity function             = 14.14 seconds


Optimization process completed.

Design Summary Log File

Design History
Input File      : /Users/rajivr/Desktop/test/mv3010.py
Output Directory: /Users/rajivr/Desktop/test/test-mv3010_125716

Iteration #   Design
--------------------------------------------------------------------------------

   1          [-565.15, 248.92, -215.90, 276.86]
   2          [-564.34, 244.19, -216.66, 277.51]
   3          [-563.34, 243.34, -217.68, 276.65]
   4          [-557.69, 239.37, -223.43, 271.53]
   5          [-551.15, 234.71, -230.78, 264.99]
   6          [-551.15, 234.44, -231.28, 264.60]
   7          [-551.15, 232.75, -234.09, 262.49]
   8          [-551.15, 232.21, -234.84, 261.95]
   9          [-551.15, 232.11, -234.95, 261.89]
  10          [-551.21, 232.08, -235.00, 261.86]
  11          [-551.52, 231.95, -235.22, 261.74]
  12          [-553.09, 231.29, -236.33, 261.17]
  13          [-560.71, 228.08, -241.71, 258.39]
  14          [-594.17, 214.02, -265.27, 246.22]
  15          [-624.31, 201.55, -286.19, 235.48]
  16          [-633.27, 198.0,  -292.14, 232.49]
  17          [-636.01, 196.95, -293.91, 231.61]