Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator
This paper presents a new metaheuristic algorithm by enhancing one of the recently
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …
Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
The need for better-performing algorithms to solve real-world power systems engineering
problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …
problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …
A modified oppositional chaotic local search strategy based aquila optimizer to design an effective controller for vehicle cruise control system
In this work, we propose a real proportional-integral-derivative plus second-order derivative
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …
An intelligent tuning scheme with a master/slave approach for efficient control of the automatic voltage regulator
A new master/slave model driven, and an optimization algorithm-based proportional–
integral–derivative (PID) plus second-order derivative (PIDD2) controller is proposed in this …
integral–derivative (PID) plus second-order derivative (PIDD2) controller is proposed in this …
Optimal PID plus second-order derivative controller design for AVR system using a modified Runge Kutta optimizer and Bode's ideal reference model
This paper presents the development of a new metaheuristic algorithm by modifying one of
the recently proposed optimizers named Runge Kutta optimizer (RUN). The modified RUN …
the recently proposed optimizers named Runge Kutta optimizer (RUN). The modified RUN …
Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation
First, this study develops an enhanced slime mould algorithm (MGSMA). The main idea is to
combine the new movement strategy and Gaussian kernel probability strategy to improve …
combine the new movement strategy and Gaussian kernel probability strategy to improve …
[HTML][HTML] Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design
This paper explains the construction of a novel augmented hunger games search algorithm
using a logarithmic spiral opposition-based learning technique. The proposed algorithm …
using a logarithmic spiral opposition-based learning technique. The proposed algorithm …
Efficient DC motor speed control using a novel multi-stage FOPD (1+ PI) controller optimized by the Pelican optimization algorithm
This paper introduces a novel multi-stage FOPD (1+ PI) controller for DC motor speed
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …
control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID …