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Published in:
2014 | OriginalPaper | Chapter
Modified Activity of Scout Bee in ABC for Global Optimization
Authors : Kedar Nath Das, Biplab Chaudhur
Published in: Proceedings of the Third International Conference on Soft Computing for Problem Solving
Publisher: Springer India
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Abstract
Artificial Bee Colony (ABC) algorithm is a bio-inspired technique motivated by the intelligent foraging behavior of honey bee swarm. ABC mainly depends on the activity of employed bees, onlooker bees and scout bees. It is a practice that during simulation, if no further improvement in the population is found within an allowable number of cycles, the employed bee becomes scout and reinitializes the population by its standard equation. But there is a chance of losing the best individuals achieved so far. In this paper, a modification in scout bee activity is proposed, with an insertion of a modified Quadratic Approximation namely qABC. The effectiveness of the proposed qABC over most recent variants of ABC is analyzed through a set of Benchmark problems. The experimental confirms that qABC outperforms its other variants.