# 結果

## 最適化のサマリーログファイル

OPTIMIZATION HISTORY FILE
Version 0.1

************************************************************************
**  COPYRIGHT (C) 2004-2016                 Altair Engineering, Inc.  **
** Contains trade secrets of Altair Engineering, Inc.                 **
** Decompilation or disassembly of this software strictly prohibited. **
************************************************************************

Date             : 14/03/2017
Time             : 17:09:18
Python Version   : 2.7.12 |Anaconda 4.2.0 (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.1500 64 bit (AMD64)]

Input File       : c:\work\simulate function\pid.py
Output Directory : c:\work\simulate function\Two_Spring_with_force_170918
Summary File     : c:\work\simulate function\Two_Spring_with_force_170918\summary.log
Design Log File  : c:\work\simulate function\Two_Spring_with_force_170918\design.log

Optimizer Settings
------------------
Algorithm        : FMIN_SLSQP
Max. # iterations: 50
Accuracy         : 1.000e-03

Simulation Settings
-------------------
Analysis         : Call optimizer.sim_function
DSA              : FD

Iteration #   Cost #    Objective       Mag(Slope)
--------------------------------------------------
1             6      4.1503e+02      1.3738e+04
2            13      4.1491e+01      2.6595e+02
3            24      4.1413e+01      1.8483e+02
4            29      3.8928e+01      2.7961e+02
5            34      1.7751e+01      6.9854e+01
6            39      2.0843e+01      1.0056e+02
7            49      2.0729e+01      1.8075e+02
8            64      2.0828e+01      2.4888e+01
9            79      2.0905e+01      2.2152e+02
10            84      2.2928e+01      2.0147e+02
11            89      2.3012e+01      7.2257e+01

Results from Optimization
-------------------------
Initial Cost   = 415.030
Final Cost     = 23.012
Cost reduction = 94.455

Individual Responses
--------------------
Weight = 1.00 Final cost of objective acceleration = 0.77
Weight = 1.00 Final cost of objective velocity = 2.32
Weight = 1.00 Final cost of objective displacement = 19.92

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

DV                Lower Bound        Upper Bound        Initial Value      Optimized Value
------------------------------------------------------------------------------------------
DV0               +0.0000e+00        +1.0000e+00        +0.0000e+00        +1.5952e-01
DV1               +0.0000e+00        +1.0000e+00        +5.0000e-01        +8.7677e-01
DV2               +0.0000e+00        +1.0000e+00        +0.0000e+00        +4.5369e-01

Elapsed Time for job                       = 261.13 seconds
Time in Cost function                    = 130.75 seconds
Time in Sensitivity function             = 124.84 seconds

Optimization process completed.

## 設計のサマリーログファイル

Design History
Input File      : c:\work\simulate function\pid.py
Output Directory: c:\work\simulate function\Two_Spring_with_force_170918

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

1          [0.0, 0.5, 0.0]
2          [0.27699, 0.63833, 2.3762e-05]
3          [0.27832, 0.63779, 2.3718e-05]
4          [0.2731, 0.6548, 3.3886e-12]
5          [0.076768, 1.0, 0.64752]
6          [0.13338, 0.91154, 0.44929]
7          [0.13338, 0.9115, 0.44932]
8          [0.13338, 0.9115, 0.44932]
9          [0.13338, 0.9115, 0.44932]
10          [0.15857, 0.87803, 0.45354]
11          [0.15952, 0.87677, 0.45369]