Widespread applications of O 2 and N 2 especially in the oil, gas, and petrochemical
industries have put air separation process into the center of attention among researchers …

The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …

A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …

In this article, a sliding mode dual-channel disturbance rejection control based on an
extended state observer is proposed for the attitude control of a quadrotor under unknown …

An iterative algorithm is a mathematical procedure that uses an initial value to generate a
sequence of improving approximate solutions for a class of problems, in which the n th …

Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …

In this research, amplitude motion and frequency simulation of a thick annular microsystem
with graphene nanoplatelets (GPL) reinforcement in the framework of the modified couple …

This article is the first attempt to employ deep learning to estimate the mechanical
performance of multi-phase systems. Features of the design-points are obtained with the aid …

Abstract Salp Swarm Algorithm (SSA) is a recent metaheuristic algorithm developed from the
inspiration of salps' swarming behavior and characterized by a simple search mechanism …

Due to the benefits of the early prediction of concrete slump, introducing an efficient model
for this purpose is of great importance. Considering this motivation, four strong metaheuristic …