The GA Procedure
- Overview
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Getting Started
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Syntax
PROC GA Statement ContinueFor Call Cross Call Dynamicarray Call EvaluateLC Call GetDimensions Call GetObjValues Call GetSolutions Call Initialize Call MarkPareto Call Mutate Call Objective Function PackBits Call Programming Statements ReadChild Call ReadCompare Call ReadMember Call ReadParent Call ReEvaluate Call SetBounds Call SetCompareRoutine Call SetCross Call SetCrossProb Call SetCrossRoutine Call SetElite Call SetEncoding Call SetFinalize Call SetMut Call SetMutProb Call SetMutRoutine Call SetObj Call SetObjFunc Call SetProperty Call SetSel Call SetUpdateRoutine Call ShellSort Call Shuffle Call UnpackBits Function UpdateSolutions Call WriteChild Call WriteMember Call
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Details
Using Multisegment Encoding Using Standard Genetic Operators and Objective Functions Defining a User Fitness Comparison Routine Defining User Genetic Operators Defining a User Update Routine Defining an Objective Function Defining a User Initialization Routine Specifying the Selection Strategy Incorporating Heuristics and Local Optimizations Handling Constraints Optimizing Multiple Objectives
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Examples
- References
| SetCrossProb Call |
- call SetCrossProb ( p ) ;
The SetCrossProb call sets the crossover probability. The input to the SetCrossProb subroutine is as follows:
p |
is the crossover probability. |
The SetCrossProb subroutine is used to set the crossover probability for the genetic algorithm optimization process. The crossover probability 
should be between 0 and 1. Typical values for this parameter range from 0.6 to 1.0. The crossover probability will be overridden if required by a SetElite call. The elite solutions are passed on to the next generation without undergoing crossover, regardless of the crossover probability.