Grey wolf optimizer

S Mirjalili, SM Mirjalili, A Lewis - Advances in engineering software, 2014 - Elsevier
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 …

Binary bat algorithm

S Mirjalili, SM Mirjalili, XS Yang - Neural Computing and Applications, 2014 - Springer
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 …

Fruit classification by biogeography‐based optimization and feedforward neural network

Y Zhang, P Phillips, S Wang, G Ji, J Yang… - Expert Systems, 2016 - Wiley Online Library
Accurate fruit classification is difficult to accomplish because of the similarities among the
various categories. In this paper, we proposed a novel fruit‐classification system, with the …

Optimal design of graphene-based plasmonic enhanced photodetector using PSO

A Molaei-Yeznabad, K Abedi - Scientific Reports, 2024 - nature.com
In this paper, we report a graphene-based plasmonic photodetector optimized using the
particle swarm optimization (PSO) algorithm and compatible with complementary metal …

Inverse design of mode-locked fiber laser by particle swarm optimization algorithm

A Kokhanovskiy, E Kuprikov, A Bednyakova, I Popkov… - Scientific reports, 2021 - nature.com
A wide variety of laser applications, that often require radiation with specific characteristics,
and relative flexibility of laser configurations offer a prospect of designing systems with the …

Neural network trained by biogeography-based optimizer with chaos for sonar data set classification

MR Mosavi, M Khishe, M Akbarisani - Wireless Personal Communications, 2017 - Springer
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 …

Obstacles and difficulties for robust benchmark problems: A novel penalty-based robust optimisation method

S Mirjalili, A Lewis - Information Sciences, 2016 - Elsevier
This paper first identifies a substantial gap in the literature of robust optimisation relating to
the simplicity, low-dimensionality, lack of bias, lack of deceptiveness, and lack of multi …

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 …

Designing a miniaturized photonic crystal based optofluidic biolaser for lab-on-a-chip biosensing applications

MH Mozaffari, M Ebnali-Heidari, G Abaeiani… - Organic …, 2018 - Elsevier
Optofluidic biolasers indicate promising potential and properties that make them highly
competitive in the development of state-of-the-art biophotonics technologies. One of the …

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 …