Optimisation of engineering systems with the Bees algorithm

Duc Pham, Luca Baronti, Biao Zhang, Marco Castellani

Research output: Contribution to journalArticlepeer-review


This article describes the Bees Algorithm in standard formulation, and presents two applications to real-world continuous optimisation engineering problems. In the first case, the Bees Algorithm is employed to train three artificial neural networks (ANNs) to model the inverse kinematics of the joints of a three-link manipulator. In the second case, the Bees Algorithm is used to optimise the parameters of a linear model used to approximate the torque output for an Electro-Hydraulic load system. In both cases, the Bees Algorithm outperformed the state-of-the-art in the literature, proving to be an effective optimisation technique for engineering systems.
Original languageEnglish
Number of pages15
JournalInternational Journal of Artificial Life Research
Publication statusPublished - Jul 2018


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