Grey wolf optimizer
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 …
wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting …
Review of numerical optimization techniques for meta-device design
Optimization techniques have been indispensable for designing high-performance meta-
devices targeted to a wide range of applications. In fact, today optimization is no longer an …
devices targeted to a wide range of applications. In fact, today optimization is no longer an …
Binary bat algorithm
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 …
echolocation behavior of bats to perform global optimization. The superior performance of …
Let a biogeography-based optimizer train your multi-layer perceptron
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 …
(NNs), has been applied to many practical problems. The MLP requires training on specific …
Photonic crystal add–drop filter: a review on principles and applications
M Bazian - Photonic network communications, 2021 - Springer
Add–drop filter (ADF) is a key component in optical integrated circuits that can be used in all-
optical communication networks and wavelength division multiplexing (WDM) systems. The …
optical communication networks and wavelength division multiplexing (WDM) systems. The …
Classification of sonar targets using an MLP neural network trained by dragonfly algorithm
Due to the compatibility of the designed classifiers with MLP Neural Networks (MLP NNs), in
this article, MLP NNs have been used to identify and classify active and passive sonar …
this article, MLP NNs have been used to identify and classify active and passive sonar …
Neural network trained by biogeography-based optimizer with chaos for sonar data set classification
Abstract Multi-layer Perceptron Neural Networks (MLP NNs) are one of the most popular
NNs in classification of the actual objectives.“Training” is the most important developmental …
NNs in classification of the actual objectives.“Training” is the most important developmental …
Superdefect photonic crystal filter optimization using grey wolf optimizer
A Chaman-Motlagh - IEEE Photonics Technology Letters, 2015 - ieeexplore.ieee.org
This letter proposes a new method for designing photonic crystal (PhC) filters. The method is
proposed while designing novel superdefect PhC filters with three and five ellipse-shaped …
proposed while designing novel superdefect PhC filters with three and five ellipse-shaped …
Asymmetric oval-shaped-hole photonic crystal waveguide design by artificial intelligence optimizers
SM Mirjalili, SZ Mirjalili - IEEE Journal of Selected Topics in …, 2015 - ieeexplore.ieee.org
This paper proposes a new kind of photonic crystal waveguide (PCW) called asymmetric
oval-shaped-hole PCW (AOPCW). In this PCW, 20 structural parameters are considered …
oval-shaped-hole PCW (AOPCW). In this PCW, 20 structural parameters are considered …
Full optimizer for designing photonic crystal waveguides: IMoMIR framework
SM Mirjalili, SZ Mirjalili - IEEE Photonics Technology Letters, 2015 - ieeexplore.ieee.org
This letter proposes a full optimizer framework (IMoMIR framework) for designing photonic
crystal waveguide (PCW). In this framework, three main issues of PCWs operation [group …
crystal waveguide (PCW). In this framework, three main issues of PCWs operation [group …