Adaptive IIR model identification using chaotic opposition-based whale optimization algorithm

S Dey, PK Roy, A Sarkar - Journal of Electrical Systems and Information …, 2023 - Springer
Infinite impulse response (IIR) filter system recognition is a serious issue nowadays as it has
many applications on a diversity of platforms. The whale optimization algorithm (WOA) is a …

Process modeling, identification methods, and control schemes for nonlinear physical systems–a comprehensive review

J Xavier, SK Patnaik, RC Panda - ChemBioEng Reviews, 2021 - Wiley Online Library
A state‐of‐the‐art review on various identification schemes proposed for the Hammerstein,
Wiener, and Volterra systems is presented with respect to the special problems arising in the …

[HTML][HTML] Chaos-enhanced Cuckoo search optimization algorithms for global optimization

L Huang, S Ding, S Yu, J Wang, K Lu - Applied Mathematical Modelling, 2016 - Elsevier
Cuckoo search optimization algorithm is a biologically inspired optimization algorithm, which
is widely used to solve many optimization problems. However, it has been empirically …

A hybrid feature selection method based on binary state transition algorithm and ReliefF

Z Huang, C Yang, X Zhou… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Feature selection problems often appear in the application of data mining, which have been
difficult to handle due to the NP-hard property of these problems. In this study, a simple but …

A statistical study on parameter selection of operators in continuous state transition algorithm

X Zhou, C Yang, W Gui - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
The state transition algorithm (STA) has been emerging as a novel metaheuristic method for
global optimization over the past few years. In our previous study, the parameter of …

State transition simulated annealing algorithm for discrete-continuous optimization problems

X Han, Y Dong, L Yue, Q Xu - IEEE Access, 2019 - ieeexplore.ieee.org
A simulated annealing (SA) algorithm is an effective method for solving optimization
problems, especially for combinatorial optimization problems. However, SA algorithms rely …

[HTML][HTML] A new multi-threshold image segmentation approach using state transition algorithm

J Han, C Yang, X Zhou, W Gui - Applied Mathematical Modelling, 2017 - Elsevier
Thresholding plays an important role in image segmentation and image analysis. In this
paper, the normalized histogram of an image is fitted by a linear combined normal …

An adaptive state transition algorithm with local enhancement for global optimization

Y Dong, H Zhang, C Wang, X Zhou - Applied Soft Computing, 2022 - Elsevier
State transition algorithm (STA) is an efficient and powerful metaheuristic method for solving
global optimization problems, and it has been successfully applied in many engineering …

Discrete state transition algorithm for unconstrained integer optimization problems

X Zhou, DY Gao, C Yang, W Gui - Neurocomputing, 2016 - Elsevier
A recently new intelligent optimization algorithm called discrete state transition algorithm is
considered in this study, for solving unconstrained integer optimization problems. Firstly …

Fractional-order PID controller tuning using continuous state transition algorithm

F Zhang, C Yang, X Zhou, W Gui - Neural Computing and Applications, 2018 - Springer
Theoretical and applied studies of fractional-order PI^ λ λ D^ μ μ (FOPID) controller in many
scientific and engineering fields have shown many advantages compared to the classical …