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
| Setting the Objective Function |
Before executing a genetic algorithm, you must specify the objective function to be optimized. Either you can define a function in your GA procedure input and designate it to be your objective function with the SetObjFunc call, or you can specify an objective function that the GA procedure provides with a SetObj call. The GA procedure currently supports the traveling salesman problem objective.