SASEGASA

The self-adaptive segregative genetic algorithm with simulated annealing aspects developed by (Affenzeller et al. 2009).

Algorithm Parameters:

Parameter	Description
Analyzer	MultiAnalyzer: The operator used to analyze the villages.
ComparisonFactorLowerBound	The lower bound of the comparison factor (start).
ComparisonFactorModifier	The operator used to modify the comparison factor.
ComparisonFactorUpperBound	The upper bound of the comparison factor (end).
Crossover	The operator used to cross solutions.
Elites	The numer of elite solutions which are kept in each generation.
FinalMaximumSelectionPressure	The maximum selection pressure used when there is only one village left.
MaximumGenerations	The maximum number of generations which should be processed.
MaximumSelectionPressure	The maximum selection pressure that terminates the algorithm.
MutationProbability	The probability that the mutation operator is applied on a solution.
Mutator	The operator used to mutate solutions.
NumberOfVillages	The initial number of villages.
OffspringSelectionBeforeMutation	True if the offspring selection step should be applied before mutation, false if it should be applied after mutation.
Population Size	The size of the population of solutions.
Seed	The random seed used to initialize the new pseudo random number generator.
SelectedParents	How much parents should be selected each time the offspring selection step is performed until the population is filled.
Selector	ProportionalSelector: The operator used to select solutions for reproduction.
SetSeedRandomly	True if the random seed should be set to a random value, otherwise false.
SuccessRatio	The ratio of successful to total children that should be achieved.
VillageAnalyzer	The operator used to analyze each village.

Is there a sample/tutorial?

Not yet, but we might add one in the future if there is demand. Meanwhile, have a look at our other samples shipped with HeuristicLab here.

References:

• Affenzeller, M. et al. 2009. Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press.