The GA Procedure
- Overview
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Getting Started
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SyntaxPROC GA StatementContinueFor CallCross CallDynamic_array CallEvaluateLC CallGetDimensions CallGetObjValues CallGetSolutions CallInitialize CallMarkPareto CallMutate CallObjective FunctionPackBits CallProgramming StatementsReadChild CallReadCompare CallReadMember CallReadParent CallReEvaluate CallSetBounds CallSetCompareRoutine CallSetCross CallSetCrossProb CallSetCrossRoutine CallSetElite CallSetEncoding CallSetFinalize CallSetMut CallSetMutProb CallSetMutRoutine CallSetObj CallSetObjFunc CallSetProperty CallSetSel CallSetUpdateRoutine CallShellSort CallShuffle CallUnpackBits FunctionUpdateSolutions CallWriteChild CallWriteMember Call
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DetailsUsing Multisegment EncodingUsing Standard Genetic Operators and Objective FunctionsDefining a User Fitness Comparison RoutineDefining User Genetic OperatorsDefining a User Update RoutineDefining an Objective FunctionDefining a User Initialization RoutineSpecifying the Selection StrategyIncorporating Heuristics and Local OptimizationsHandling ConstraintsOptimizing Multiple Objectives
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Examples
- References
call SetUpdateRoutine ( ’routine’ ) ;
The SetUpdateRoutine call designates a control subroutine to be called at each iteration. The input to the SetUpdateRoutine subroutine is as follows:
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routine |
is the name of a subroutine you have defined that is called once during each iteration of the optimization process. This parameter must be a string literal; a variable is not accepted. |
The SetUpdate subroutine enables you to define a subroutine to be called at each iteration of the optimization process, in order to monitor the progress of the genetic algorithm, adjust optimization parameters, or perform calculations that depend on the population as a whole. The specified routine is called once at each iteration, just before the selection process and after the evaluation phase. See the section Defining a User Update Routine for a discussion of how an update routine might be used.