Research Article
Fast Parabola Detection Using Estimation of Distribution Algorithms
Algorithm 1
Fast parabola detection method by UMDA.
Input: PopulationSize, GenerationSize, SelectionPercentage, nbits | Output: | (1) Population InitializePopulation(PopulationSize, nbits) | (2) EvaluatePopulation (Population) | (3) etBestSolution(Population SelectionPercentage) | (4) for gen to GenerationSize do | (5) Selected SelectFitSolutions(Population, SelectionSize) | (6) alculateFrequencyOfComponents(Selected) | (7) Offspring | (8) for to PopulationSize do | (9) Offspring ProbabilisticallyConstructSolution(V) | (10) Entr EntropyMeasurements(Offspring, Model) | (11) end | (12) EvaluatePopulation(Offspring) etBestSolution(Offspring) | (13) Prob robabilityMeasurements | (14) Population GetElitePopulation(Probs, Offspring, Population) | (15) if StopCondition(Entr) then | (16) Break | (17) end | (18) end | (19) return () |
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