Evidence map›Paper›PMID 35062578›Full record

ArticleSensors (Basel, Switzerland)2022

An Arithmetic-Trigonometric Optimization Algorithm with Application for Control of Real-Time Pressure Process Plant.

P Arun Mozhi Devan, Fawnizu Azmadi Hussin, Rosdiazli B Ibrahim, Kishore Bingi, M Nagarajapandian, Maher Assaad

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  10. A Comprehensive Survey on Arithmetic Optimization Algorithm.Archives of computational methods in engineering : state of the art reviews · 2023
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  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

P Arun Mozhi DevanDepartment of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.ORCID 0000-0003-0231-5113
Fawnizu Azmadi HussinDepartment of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.ORCID 0000-0002-1419-9300
Rosdiazli B IbrahimDepartment of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.ORCID 0000-0002-1939-0155
Kishore BingiSchool of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.ORCID 0000-0001-7333-7438
M NagarajapandianDepartment of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore 641022, Tamil Nadu, India.ORCID 0000-0002-1984-1817
Maher AssaadDepartment of Electrical and Computer Engineering, Ajman University, Ajman 666688, United Arab Emirates.

Funding

Ajman University's Internal Research Grant 2021-IRG-ENIT-1Yayasan Universiti Teknologi PETRONAS YUTP 015LC0-045
6 · The paper itself

Abstract

This paper proposes a novel hybrid arithmetic-trigonometric optimization algorithm (ATOA) using different trigonometric functions for complex and continuously evolving real-time problems. The proposed algorithm adopts different trigonometric functions, namely sin, cos, and tan, with the conventional sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to improve the convergence rate and optimal search area in the exploration and exploitation phases. The proposed algorithm is simulated with 33 distinct optimization test problems consisting of multiple dimensions to showcase the effectiveness of ATOA. Furthermore, the different variants of the ATOA optimization technique are used to obtain the controller parameters for the real-time pressure process plant to investigate its performance. The obtained results have shown a remarkable performance improvement compared with the existing algorithms.

Indexed as

Algorithmsarithmetic–trigonometric optimizationbenchmark functionsdead-time processesfractional-order controllerPID controlprocess controltrigonometric functions

Identifiers

PMID35062578
PMCPMC8781630

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.