Artificial Bee Colony Model: A Case Study

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4.2.1.2.5 Artificial Bee Colony algorithm (ABC). Artificial Bee Colony (ABC) model is proposed by Karaboga [263]. In this collective intelligence search model, the honey bees are categorized as employed, onlooker and scout. The employed and unemployed bees search for the rich food sources, which are close to the bee's hive. The employed bees store the food source information and share the information with onlooker bees. The number of employed bees is equal to the number of food sources and also equal to the amount of onlooker bees. Employed bees whose solutions are poor and cannot be improved through a predetermined number of trials called ‘limit’, specified by the user of the ABC algorithm, become scouts and their solutions are abandoned. An employed bee is a forager associated with a certain food source which she is currently exploiting. She memorizes the quality of the food source and then after …show more content…

While examining the entire hive it is possible to distinguish some parts that commonly exist in all hives. The most important part of the hive with respect to exchanging information is the dancing area. Communication among bees related to the quality of food sources occurs in the dancing area. The related dance is called waggle dance. Since information about all the current rich sources is available to an onlooker on the dance floor, probably she could watch numerous dances and chooses to employ herself at the most profitable source. There is a greater probability of onlookers choosing more profitable sources since more information is circulating about the more profitable sources. Employed foragers share their information with a probability which is proportional to the profitability of the food source, and the sharing of this information through waggle dancing is longer in duration. Hence, the recruitment is proportional to profitability of a food

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