Proposing a reliable feature selection approach is the primary stone for endorsing the
prediction performance; therefore, this paper proposes an enhanced optimization technique …

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 …

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 …

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 …

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 …

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 …