[HTML][HTML] Protein nanoparticles in drug delivery: animal protein, plant proteins and protein cages, albumin nanoparticles

E Kianfar - Journal of Nanobiotechnology, 2021 - Springer
In this article, we will describe the properties of albumin and its biological functions, types of
sources that can be used to produce albumin nanoparticles, methods of producing albumin …

Magnetic nanoparticles in targeted drug delivery: a review

E Kianfar - Journal of Superconductivity and Novel Magnetism, 2021 - Springer
Magnetic nanoparticles are one of the most important and widely used types of
nanomaterials, whose unique properties make them special compared to other …

INFO: An efficient optimization algorithm based on weighted mean of vectors

I Ahmadianfar, AA Heidari, S Noshadian… - Expert Systems with …, 2022 - Elsevier
This study presents the analysis and principle of an innovative optimizer named weIghted
meaN oF vectOrs (INFO) to optimize different problems. INFO is a modified weight mean …

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 …

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation

A Qi, D Zhao, F Yu, AA Heidari, Z Wu, Z Cai… - Computers in biology …, 2022 - Elsevier
This paper focuses on the study of Coronavirus Disease 2019 (COVID-19) X-ray image
segmentation technology. We present a new multilevel image segmentation method based …

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 …

Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism

X Zhou, H Ma, J Gu, H Chen, W Deng - Engineering Applications of …, 2022 - Elsevier
In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …

The colony predation algorithm

J Tu, H Chen, M Wang, AH Gandomi - Journal of Bionic Engineering, 2021 - Springer
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

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 …