L Yin, W Ding - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Aiming at the operation control of doubly-fed induction generator-wind energy systems, this study firstly introduces multi-dimensional information feedback and fractional-order theory …
Z Tang, K Wang, S Tao, Y Todo, RL Wang… - International Journal of …, 2023 - Springer
Manta ray foraging optimization (MRFO) tends to get trapped in local optima as it relies on the direction provided by the previous individual and the best individual as guidance to …
This present study describes a novel manta ray foraging optimization approach based non- dominated sorting strategy, namely (NSMRFO), for solving the multi-objective optimization …
Detecting the maximum power point in the photovoltaic (PV) system under normal and shaded weather conditions with high accuracy is vital to save the harvested power …
Y Liao, W Zhao, L Wang - Mathematics, 2021 - mdpi.com
Magnetorheological (MR) dampers play a crucial role in various engineering systems, and how to identify the control parameters of MR damper models without any prior knowledge …
J Yang, Z Liu, X Zhang, G Hu - Mathematics, 2022 - mdpi.com
The manta ray foraging optimizer (MRFO) is a novel nature-inspired optimization algorithm that simulates the foraging strategy and behavior of manta ray groups, ie, chain, spiral, and …
CJ Sun, F Gao - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
The marine predators algorithm (MPA) is a novel population‐based optimization method that has been widely used in real‐world optimization applications. However, MPA can easily fall …
Manta ray foraging optimization (MRFO) algorithm is relatively a novel bio-inspired optimization technique directed to given real-world engineering problems. In this present …
The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the smart conduct of manta rays. The MRFO algorithm is a newly developed swarm-based …