TY - JOUR
T1 - Optimisation of engineering systems with the Bees algorithm
AU - Pham, Duc
AU - Baronti, Luca
AU - Zhang, Biao
AU - Castellani, Marco
PY - 2018/7
Y1 - 2018/7
N2 - 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.
AB - 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.
U2 - 10.4018/IJALR.2018010101
DO - 10.4018/IJALR.2018010101
M3 - Article
SN - 1947-3087
JO - International Journal of Artificial Life Research
JF - International Journal of Artificial Life Research
ER -