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 …
Designing evolutionary feedforward neural networks using social spider optimization algorithm
SZ Mirjalili, S Saremi, SM Mirjalili - Neural Computing and Applications, 2015 - Springer
Training feedforward neural networks (FNNs) is considered as a challenging task due to the
nonlinear nature of this problem and the presence of large number of local solutions. The …
nonlinear nature of this problem and the presence of large number of local solutions. The …
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 …
Single-objective optimization framework for designing photonic crystal filters
SM Mirjalili, SZ Mirjalili - Neural Computing and Applications, 2017 - Springer
This work presents a single-objective optimization framework for designing complex
photonic crystal (PhC) filters. As a case study, a super defect PhC filter with five rods is …
photonic crystal (PhC) filters. As a case study, a super defect PhC filter with five rods is …
Multi-objective optimization framework for designing photonic crystal sensors
In this paper, a novel framework for designing optimized photonic crystal (PhC) sensors has
been proposed. The complexity of such structures has resulted in the lack of an analytical …
been proposed. The complexity of such structures has resulted in the lack of an analytical …
Multi-objective versus single-objective optimization frameworks for designing photonic crystal filters
This paper proposes a novel framework for multi-objective optimization of photonic crystal
(PhC) filters and compares it with a single-objective optimization approach. In this …
(PhC) filters and compares it with a single-objective optimization approach. In this …