Bees algorithm .28Pham 2005.29 List of metaphor-based metaheuristics
the bees algorithm in basic formulation created pham , co-workers in 2005, , further refined in following years. modelled on foraging behaviour of honey bees, algorithm combines global explorative search local exploitative search. small number of artificial bees (scouts) explores randomly solution space (environment) solutions of high fitness (highly profitable food sources), whilst bulk of population search (harvest) neighbourhood of fittest solutions looking fitness optimum. deterministics recruitment procedure simulates waggle dance of biological bees used communicate scouts findings foragers, , distribute foragers depending on fitness of neighbourhoods selected local search. once search in neighbourhood of solution stagnates, local fitness optimum considered found, , site abandoned. in summary, bees algorithm searches concurrently promising regions of solution space, whilst continuously sampling in search of new favourable regions.