Dynamic Arithmetic Optimization Algorithm for Truss Optimization Under Natural Frequency Constraints

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10251963" target="_blank" >RIV/61989100:27240/22:10251963 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9695417" target="_blank" >https://ieeexplore.ieee.org/document/9695417</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2022.3146374" target="_blank" >10.1109/ACCESS.2022.3146374</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic Arithmetic Optimization Algorithm for Truss Optimization Under Natural Frequency Constraints

Popis výsledku v původním jazyce

Metaheuristic algorithms have successfully been used to solve any type of optimization problem in the field of structural engineering. The newly proposed Arithmetic Optimization Algorithm (AOA) has recently been presented for mathematical problems. The AOA is a metaheuristic that uses the main arithmetic operators&apos; distribution behavior, such as multiplication, division, subtraction, and addition in mathematics. In this paper, a dynamic version of the arithmetic optimization algorithm (DAOA) is presented. During an optimization process, a new candidate solution change to regulate exploration and exploitation in a dynamic version in each iteration. The most remarkable attribute of DAOA is that it does not need to make any effort to preliminary fine-tuning parameters relative to the most present metaheuristic. Also, the new accelerator functions are added for a better search phase. To evaluate the performance of both the AOA and its dynamic version, minimizing the weight of several truss structures under frequency bound is tested. These algorithms &apos; efficiency is obtained by five classical engineering problems and optimizing different truss structures under various loading conditions and limitations.

Název v anglickém jazyce

Dynamic Arithmetic Optimization Algorithm for Truss Optimization Under Natural Frequency Constraints

Popis výsledku anglicky

Metaheuristic algorithms have successfully been used to solve any type of optimization problem in the field of structural engineering. The newly proposed Arithmetic Optimization Algorithm (AOA) has recently been presented for mathematical problems. The AOA is a metaheuristic that uses the main arithmetic operators&apos; distribution behavior, such as multiplication, division, subtraction, and addition in mathematics. In this paper, a dynamic version of the arithmetic optimization algorithm (DAOA) is presented. During an optimization process, a new candidate solution change to regulate exploration and exploitation in a dynamic version in each iteration. The most remarkable attribute of DAOA is that it does not need to make any effort to preliminary fine-tuning parameters relative to the most present metaheuristic. Also, the new accelerator functions are added for a better search phase. To evaluate the performance of both the AOA and its dynamic version, minimizing the weight of several truss structures under frequency bound is tested. These algorithms &apos; efficiency is obtained by five classical engineering problems and optimizing different truss structures under various loading conditions and limitations.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Svazek periodika

10

Číslo periodika v rámci svazku

leden 2022

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

21

Strana od-do

16188-16208

Kód UT WoS článku

000756655900001

EID výsledku v databázi Scopus

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