Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
As an essential issue in wind energy industry, wind speed forecasting plays a vital role in
optimal scheduling and control of wind energy generation and conversion. In this paper, a …
optimal scheduling and control of wind energy generation and conversion. In this paper, a …
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
The connection weights parameters play important roles in adjusting the performance of PID
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …
Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization
Abstract Design of an effective and efficient fractional order PID (FOPID) controller, as a
generalization of a standard PID controller based on fractional order calculus, for an …
generalization of a standard PID controller based on fractional order calculus, for an …
Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system
This paper proposes a robust proportional-integral (PI) controller with its parameters
designed by constrained population extremal optimization for load frequency control …
designed by constrained population extremal optimization for load frequency control …
An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots
Intelligent control systems are being developed for the control of plants with complex
dynamics. However, the simplicity of the PID (proportional–integrative–derivative) controller …
dynamics. However, the simplicity of the PID (proportional–integrative–derivative) controller …
[HTML][HTML] An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition
The optimal generation of initial connection weight parameters and dynamic updating
strategies of connection weights are critical for adjusting the performance of back …
strategies of connection weights are critical for adjusting the performance of back …
Improved Whale Optimization Algorithm applied to design PID plus second-order derivative controller for automatic voltage regulator system
D Mokeddem, S Mirjalili - Journal of the Chinese Institute of …, 2020 - Taylor & Francis
The paper proposes an Improved Whale Optimization Algorithm (IWOA). Its performance is
validated by solving 23 benchmark functions. Comparing the results of IWOA with well …
validated by solving 23 benchmark functions. Comparing the results of IWOA with well …
A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization …
As a recently developed optimization method inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
[HTML][HTML] An adaptive model predictive load frequency control method for multi-area interconnected power systems with photovoltaic generations
As the penetration level of renewable distributed generations such as wind turbine
generator and photovoltaic stations increases, the load frequency control issue of a multi …
generator and photovoltaic stations increases, the load frequency control issue of a multi …
Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems
How to design a set of optimal distributed load frequency controllers for a multi-area
interconnected power system is an important but still challenging issue in the field of modern …
interconnected power system is an important but still challenging issue in the field of modern …