ACWB: Artificial Cleaning Worker Bees Algorithm for Honey DNA Sequences Classification

Honey is a natural product that has accompaniedman of the highest antiquity. This precious elixir is elaborated bybees api mellifera from the flowers nectar as well as the honey-dew. Melissopalynology studies honey and its pollen contents byanalyzing the pollen of a honey’s sample, this analysis has a bigimportance for the control of honey quality. Nowadays, develop-ing an automatic classification system for pollen identification,presents a challenge that needs powerful techniques. This paperpresents a new supervised approach for classification of pollengrain DNA sequence, inspired from cleaning tasks in social liveof bees. Experiments were applied on pollen DNA sequences todemonstrate the effectiveness of the proposed approach.Index Terms—supervised classification, Meta-Heuristic, SocialBees, Bio-Inspired, Data mining, DNA sequences classification,Melissopalynology, Honey Pollen Classification.