[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques

X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …

[HTML][HTML] Polymeric membranes on base of PolyMethyl methacrylate for air separation: a review

E Kianfar, V Cao - Journal of Materials Research and Technology, 2021 - Elsevier
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 …

RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

I Ahmadianfar, AA Heidari, AH Gandomi, X Chu… - Expert Systems with …, 2021 - Elsevier
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 …

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
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 …

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection

J Hu, W Gui, AA Heidari, Z Cai, G Liang, H Chen… - Knowledge-Based …, 2022 - Elsevier
The slime mould algorithm (SMA) is a logical swarm-based stochastic optimizer that is easy
to understand and has a strong optimization capability. However, the SMA is not suitable for …

Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

D Zhao, L Liu, F Yu, AA Heidari, M Wang… - Knowledge-Based …, 2021 - Elsevier
Although the continuous version of ant colony optimizer (ACOR) has been successfully
applied to various problems, there is room to boost its stability and improve convergence …

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis

W Shan, Z Qiao, AA Heidari, H Chen… - Knowledge-Based …, 2021 - Elsevier
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …

Coupled particle swarm optimization method with genetic algorithm for the static–dynamic performance of the magneto-electro-elastic nanosystem

J Jiao, S Ghoreishi, Z Moradi, K Oslub - Engineering with Computers, 2021 - Springer
As a first attempt, Fourier series expansion (FSE), particle swarm optimization (PSO), and
genetic algorithm (GA) methods are coupled for analysis of the static–dynamic performance …

Topology optimization against cascading failures on wireless sensor networks using a memetic algorithm

X Fu, P Pace, G Aloi, L Yang, G Fortino - Computer Networks, 2020 - Elsevier
Existing research on cascading failures of wireless sensor networks (WSNs) fails to take into
account the role of the sink node on network load distribution, and rarely involves how to …