In recent years, metasurfaces have emerged as revolutionary tools to manipulate the
behavior of light at the nanoscale. These devices consist of nanostructures defined within a …

This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm
(SOA) for solving computationally expensive problems. The main inspiration of this algorithm …

This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey
wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting …

Bat algorithm (BA) is one of the recently proposed heuristic algorithms imitating the
echolocation behavior of bats to perform global optimization. The superior performance of …

Abstract The Multi-Layer Perceptron (MLP), as one of the most-widely used Neural Networks
(NNs), has been applied to many practical problems. The MLP requires training on specific …

In this paper, a modified particle swarm optimization (PSO) algorithm called autonomous
groups particles swarm optimization (AGPSO) is proposed to further alleviate the two …

Numerical optimization is an important tool in the field of computational physics in general
and in nano-optics in specific. It has attracted attention with the increase in complexity of …

This work is a seminal attempt to address the drawbacks of the recently proposed monarch
butterfly optimization (MBO) algorithm. This algorithm suffers from premature convergence …

Due to the variability of the radiated signal of the sonar targets, passive sonar target
classification is a challenging problem in the real world application. Adaptive Mel-frequency …

This paper presents a novel bio-inspired algorithm called Sandpiper Optimization Algorithm
(SOA) and applies it to solve challenging real-life problems. The main inspiration behind this …