Application of sophisticated sensors to advance the monitoring of machining processes: analysis and holistic review

SR Kandavalli, AM Khan, A Iqbal, M Jamil… - … International Journal of …, 2023 - Springer
Response measurement of various functionality states of machines is an inevitable part of
smooth production. An effectively efficient measurement and control system of the machinery …

[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 …

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 …

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 …

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 …

Towards augmented kernel extreme learning models for bankruptcy prediction: algorithmic behavior and comprehensive analysis

Y Zhang, R Liu, AA Heidari, X Wang, Y Chen, M Wang… - Neurocomputing, 2021 - Elsevier
Bankruptcy prediction is a crucial application in financial fields to aid in accurate decision
making for business enterprises. Many models may stagnate to low-accuracy results due to …

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 …

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …