Solution with LS-OPTui
Strategy
Strategy
Select a Strategy for Metamodel-based Optimization
Select the Strategy tab.
- Switch the radio button of the section “Strategy for Metamodel-based Optimization” to “Sequential with Domain Reduction (SRSM)” so that we can set the "Number of Iterations" later.
Solver
Solver
Define Solver and Input File
- Select the Solvers tab.
- For Solver Package Name select User-Defined because our example will not work with LS-DYNA but use Perl as the solver.
- For Command specify perl (since this is the solver)
- For Input File browse the file function.
- For Name of Analysis Case enter 1.
- Push the Add button.
Variables
Variables
Define the Variables
- Select the Variables tab.
- For Type of ”X” switch the combo box to Variable.
- Enter -1 for the Minimum of the variable.
- Enter 3 for the Maximum of the variable.
- For Type of “Y“switch the combo box to Variable.
- Enter -1 for the Minimum of the variable.
- Enter 3 for the Maximum of the variable.
Sampling
Sampling
Sampling Panel
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Select the Sampling Panel.
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Switch the radio button of the section “METAMODEL” to “Polynomial” and the radio button of the section “Order” to “Linear”. In “POINT SELECTION” use the default options “D-Optimal” and “Number of Simulation Points per Iteration per Case” = 5.
Responses
Responses
Responses Panel
- Select the Responses panel.
- Select USERDEFINED.
- We obtain the output of the response with the shell command cat out.txt. This file was written by our perl script. Note: Windows user may use the DOS command type instead of the shell command cat.
- For the Response Name we enter "F".
- Push the Add button to create the new response
Objective
Objective
Objective Function
- Select the Objective panel.
- Choose the Response Weight as objective
Run
Run
Run the Optimization
- Select the Run panel.
- For Numer of iterations enter 10.
- Push the Run button to start the optimization. (Save the project as com in the same folder where you'd put the file function)
Com-file
Com-file
The created command file may look like this:
$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ Command file "com" $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ $ Generated using LS-OPT Version 4.1 $ "Optimization Problem" $ $ Created on Fri Nov 19 11:32:44 2010 solvers 1 responses 1 $ $ NO HISTORIES ARE DEFINED $ $ $ DESIGN VARIABLES $ variables 2 Variable 'X' 0. Lower bound variable 'X' -1. Upper bound variable 'X' 3. Variable 'Y' 0. Lower bound variable 'Y' -1. Upper bound variable 'Y' 3. $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ $ OPTIMIZATION METHOD $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ $ Optimization Method SRSM $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ $ SOLVER "1" $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ $ $ DEFINITION OF SOLVER "1" $ solver own '1' solver command "perl" solver input file "/home/yu/optimierung/function" $ ------ Pre-processor -------- $ NO PREPROCESSOR SPECIFIED $ ------ Post-processor -------- $ NO POSTPROCESSOR SPECIFIED $ ------ Metamodeling --------- solver order linear solver experiment design dopt $ ------ Job information ------ solver concurrent jobs 1 $ $ RESPONSES FOR SOLVER "1" $ response 'F' 1 0 "cat out.txt" $ $ OBJECTIVE FUNCTIONS $ objectives 1 objective 'F' 1 $ $ THERE ARE NO CONSTRAINTS!!! $ constraints 0 $ $ PARAMETERS FOR METAMODEL OPTIMIZATION $ Metamodel Optimization Strategy DOMAINREDUCTION $ iterate param design 0.01 iterate param objective 0.01 iterate param stoppingtype and $ $ OPTIMIZATION ALGORITHM $ Optimization Algorithm hybrid simulated annealing Use GSA $ $ JOB INFO $ iterate 10 STOP
