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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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
problems, especially for combinatorial optimization problems. However, SA algorithms rely …
[HTML][HTML] A new multi-threshold image segmentation approach using state transition algorithm
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 …
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
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 …
global optimization problems, and it has been successfully applied in many engineering …
Discrete state transition algorithm for unconstrained integer optimization problems
A recently new intelligent optimization algorithm called discrete state transition algorithm is
considered in this study, for solving unconstrained integer optimization problems. Firstly …
considered in this study, for solving unconstrained integer optimization problems. Firstly …
Fractional-order PID controller tuning using continuous state transition algorithm
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 …
scientific and engineering fields have shown many advantages compared to the classical …