Novel adaptive bacterial foraging algorithms for global optimisation with application to modelling of a TRS

作者：

Highlights：

• First, we proposed ABFA based on index of iteration.

• Second, we proposed ABFA based on synergy of iteration index and fitness cost.

• The algorithms are tested with standard benchmark functions.

• The algorithms are employed to optimise a NN model to represent a TRS.

• The proposed algorithms outperformed standard BFA.

摘要

•First, we proposed ABFA based on index of iteration.•Second, we proposed ABFA based on synergy of iteration index and fitness cost.•The algorithms are tested with standard benchmark functions.•The algorithms are employed to optimise a NN model to represent a TRS.•The proposed algorithms outperformed standard BFA.

论文关键词：Adaptive bacterial foraging,Optimisation algorithm,Nonparametric modelling,Twin rotor system

论文评审过程：Available online 16 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.010