D.T. Pham, M. Castellani, H.A. Le Thi, Nature-Inspired Intelligent Optimisation using the Bees Algorithm.

Abstract: The Bees Algorithm models the foraging behaviour of honey bees in order to solve optimisation problems. The algorithm performs a kind of exploitative neighbourhood search combined with random explorative search. This paper describes the Bees Algorithm, and compares its functioning and performance with those of other state-of-the-art nature-inspired intelligent optimisation methods. Two application cases are presented: the minimisation of a set of well-known benchmark functions, and the training of neural networks to reproduce the inverse kinematics of a robot manipulator. In both cases, the Bees Algorithm proved its effectiveness and speed. Compared with other state-of-the-art methods, the performance of the Bees Algorithm was very competitive.

 

Keywords: intelligent optimisation, swarm intelligence, bees algorithm, honey bees.

 

Citation: Duc Truong Pham, Marco Castellani, Hoai An Le Thi, Nature-Inspired Intelligent Optimisation using the Bees Algorithm. Transactions on Computational Collective Intelligence, Volume 8342, pp. 38-69, 2014.

 

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