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Optimisation of Engineering Systems With the Bees Algorithm

Optimisation of Engineering Systems With the Bees Algorithm

Duc T. Pham, Luca Baronti, Biao Zhang, Marco Castellani
Copyright: © 2018 |Volume: 8 |Issue: 1 |Pages: 15
ISSN: 1947-3087|EISSN: 1947-3079|EISBN13: 9781522544982|DOI: 10.4018/IJALR.2018010101
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MLA

Pham, Duc T., et al. "Optimisation of Engineering Systems With the Bees Algorithm." IJALR vol.8, no.1 2018: pp.1-15. http://doi.org/10.4018/IJALR.2018010101

APA

Pham, D. T., Baronti, L., Zhang, B., & Castellani, M. (2018). Optimisation of Engineering Systems With the Bees Algorithm. International Journal of Artificial Life Research (IJALR), 8(1), 1-15. http://doi.org/10.4018/IJALR.2018010101

Chicago

Pham, Duc T., et al. "Optimisation of Engineering Systems With the Bees Algorithm," International Journal of Artificial Life Research (IJALR) 8, no.1: 1-15. http://doi.org/10.4018/IJALR.2018010101

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Abstract

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.

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