--------------------------------------------------------------------------
 OSTRICH version 17.11.03 (Built Nov  3 2017 @ 09:02:31)

 A computer program for model-independent calibration and optimization.

 Author             L. Shawn Matott
 Copyright (C) 2007 L. Shawn Matott

 This program is free software; you can redistribute 
 it and/or modify it under the terms of the GNU  
 General Public License as published by the Free 
 Software Foundation; either version 2 of the 
 License, or(at your option) any later version. 

 This program is distributed in the hope that it will 
 be useful, but WITHOUT ANY WARRANTY; without even 
 the implied warranty of MERCHANTABILITY or FITNESS 
 FOR A PARTICULAR PURPOSE. See the GNU General Public 
 License for more details. 

 You should have received a copy of the GNU General 
 Public License along with this program; if not, 
 write to the Free Software Foundation, Inc., 59 
 Temple Place, Suite 330, Boston, MA 02111-1307 USA 
--------------------------------------------------------------------------

Ostrich Setup
Model                  : nZones.bat > OstExeOut.txt
Algorithm              : Binary-coded Genetic Algorithm (BGA)
Objective Function     : GCOP
Number of Parameters   : 6
Number of Tied Params  : 0
Number of Observations : 0
Seed for Random Nums.  : 1509725797
Number of Resp. Vars        : 2
Number of Tied Resp. Vars   : 0
Number of Constraints       : 1
Penalty Method              : Additive Penalty Method (APM)

Ostrich Run Record
gen    best fitness   L1            L2            L3            L4            L5            L6             convergence value
0     -1.170000E+02  1              10             10             12             5              10             6.611869E-01
1     -9.997000E+01  1              11             10             9              5              10             2.825205E-01
2     -9.997000E+01  1              11             10             9              5              10             2.555386E-01
3     -9.128000E+01  1              10             10             9              5              10             1.585934E-01
4     -9.128000E+01  1              10             10             9              5              10             1.249581E-01
5     -9.128000E+01  1              10             10             9              5              10             0.000000E+00

Optimal Parameter Set
Objective Function : -9.128000E+01
L1                 : 1
L2                 : 10
L3                 : 10
L4                 : 9
L5                 : 5
L6                 : 10

Summary of Constraints
Name           Violation      Penalty        
MassCon       0.000000E+00  0.000000E+00  

Algorithm Metrics
Algorithm               : Binary-coded Genetic Algorithm (BGA)
Desired Convergence Val : 1.000000E-04
Actual Convergence Val  : 0.000000E+00
Max Generations         : 10
Actual Generations      : 5
Population Size         : 10
Number of Elites        : 1
Initialization Method   : Random
L1           Mutations : 0
L2           Mutations : 0
L3           Mutations : 3
L4           Mutations : 8
L5           Mutations : 1
L6           Mutations : 1
Total Evals             : 64
Telescoping Strategy    : none
Algorithm successfully converged on a solution
