Marine predators algorithm: A review
Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
[HTML][HTML] Marine predators algorithm: A comprehensive review
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
Design of cascaded pi-fractional order PID controller for improving the frequency response of hybrid microgrid system using gorilla troops optimizer
This paper proposes a cascaded Proportional Integral-Fractional Order Proportional-Integral-
Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid …
Derivative (PI-FOPID) controller to improve the frequency response of a hybrid microgrid …
[HTML][HTML] Frequency regulation of hybrid multi-area power system using wild horse optimizer based new combined Fuzzy Fractional-Order PI and TID controllers
The increasing penetration of renewable energy sources (RES) into modern power systems
may reflect the problem of frequency stabilization. Therefore, this paper proposes a new …
may reflect the problem of frequency stabilization. Therefore, this paper proposes a new …
[HTML][HTML] Evaluation of metaheuristic optimization algorithms for optimal allocation of surface water and groundwater resources for crop production
Extensive variability in current climatic conditions necessitates the need for optimal planning
of water resources to manage socio-economic and environmental requirements efficiently …
of water resources to manage socio-economic and environmental requirements efficiently …
Improved reinforcement learning strategy of energy storage units for frequency control of hybrid power systems
Abstract An improved Reinforcement Learning (RL) agent with a Deep Deterministic Policy
Gradient (DDPG) algorithm is proposed to control the frequency of hybrid power systems …
Gradient (DDPG) algorithm is proposed to control the frequency of hybrid power systems …
A hybrid grey wolf assisted-sparrow search algorithm for frequency control of RE integrated system
Nowadays, renewable energy (RE) sources are heavily integrated into the power system
due to the deregulation of the energy market along with environmental and economic …
due to the deregulation of the energy market along with environmental and economic …
A novel modified Lévy flight distribution algorithm to tune proportional, integral, derivative and acceleration controller on buck converter system
In this paper, an optimal proportional, integral, derivative and acceleration (PIDA) controller
design based on Bode's ideal reference model and a novel modified Lévy flight distribution …
design based on Bode's ideal reference model and a novel modified Lévy flight distribution …
Seagull optimization algorithm–based fractional-order fuzzy controller for LFC of multi-area diverse source system with realistic constraints
This study initiates the implementation of fractional-order (FO) fuzzy (F) PID (FOFPID)
controller fine-tuned using a seagull optimization algorithm (SOA) for the study of load …
controller fine-tuned using a seagull optimization algorithm (SOA) for the study of load …
[HTML][HTML] Enhancement of frequency stability of power systems integrated with wind energy using marine predator algorithm based PIDA controlled STATCOM
This paper proposes a novel optimized Proportional-Integral-Derivative-Acceleration (PIDA)
controlled static synchronous compensator (STATCOM) to improve the frequency response …
controlled static synchronous compensator (STATCOM) to improve the frequency response …