The Memory-based Bees Algorithm (MBA) is a new optimisation algorithm based on the Bees Algorithm (BA). MBA includes private and social information of honey bees to copy the decision-making capability of the bees. Lévy flights are random processes that are based on a stable distribution called the Lévy distribution. The enhanced so-called Levy MBA (LMBA) is used to reduce the tunableTunable parameters of the basic BA and MBA algorithms. It is tested for Otsu’s multilevelMultilevelimageImagethresholdingThresholding method with the peak signal-to-noiseNoise ratio (PSNR) as the thresholdingThresholdingqualityQualitymeasurementMeasurement. The objective is to find optimalOptimal threshold values, particularly with the highest qualityQuality. The results demonstrated several benchmark problems with the efficiency and robustness of the new algorithm.
Memory-Based Bees Algorithm with Lévy Flights for Multilevel Image Thresholding
Springer Ser.Advanced Manufacturing
Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach ; Kapitel : 11 ; 175-191
2022-11-20
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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