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
The UpdateSolutions call updates the current solution population. The inputs to the UpdateSolutions subroutine are as follows:
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sol |
is an array containing the replacement solution elements. |
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n |
is the number of solutions to update. |
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seg |
is the segment of the solution to replace. |
The UpdateSolutions subroutine is used to replace the values of the selected solution segment with new values computed in an update routine. The update routine can be designated in a SetUpdateRoutine call . The UpdateSolutions call is often used to implement advanced strategies such as marking Pareto-optimal sets or employing local optimizations. The sol parameter should have 2 dimensions. The first dimension represents the solution number, and should have a value of n or greater. The second dimension represents the element within the solution seg, and should be equal to the segment size.