An Improved Artificial Bee Colony Algorithm Based on Special Division and Intellective Search
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초록
Artificial bee colony algorithm is a strong global search algorithm which exhibits excellent exploration ability. The conventional ABC algorithm adopts employed bees, onlooker bees and scouts to cooperate with each other. However, its one dimension and greedy search strategy causes slow convergence speed. To enhance itsperformance, in this paper, we abandon the greedy selection method and propose an artificial bee colonyalgorithm with special division and intellective search (ABCIS). For the purpose of higher food source researchefficiency, different search strategies are adopted with different employed bees and onlooker bees. Experimentalresults on a series of benchmarks algorithms demonstrate its effectiveness.
Abstract
Artificial bee colony algorithm is a strong global search algorithm which exhibits excellent exploration ability. The conventional ABC algorithm adopts employed bees, onlooker bees and scouts to cooperate with each other. However, its one dimension and greedy search strategy causes slow convergence speed. To enhance itsperformance, in this paper, we abandon the greedy selection method and propose an artificial bee colonyalgorithm with special division and intellective search (ABCIS). For the purpose of higher food source researchefficiency, different search strategies are adopted with different employed bees and onlooker bees. Experimentalresults on a series of benchmarks algorithms demonstrate its effectiveness.
참고문헌 (10)
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