Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63559458" target="_blank" >RIV/70883521:28140/22:63559458 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10019727" target="_blank" >https://ieeexplore.ieee.org/document/10019727</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IS57118.2022.10019727" target="_blank" >10.1109/IS57118.2022.10019727</a>

Result language

angličtina

Original language name

Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics

Original language description

Metaheuristics are universal optimization algorithms which should be used for solving difficult problems, unsolvable by classic approaches. In this paper we aim at constructing novel socio-cognitive metaheuristic based on castes, and apply several versions of this algorithm to optimization of time-delay system model. Besides giving the background and the details of the proposed algorithms we apply them to optimization of selected variants of the problem and discuss the results.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/GF21-45465L" target="_blank" >GF21-45465L: Metaheuristic-based parametric optimization of time-delay models and control systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

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

Article name in the collection

2022 IEEE 11th International Conference on Intelligent Systems (IS)

ISBN

978-1-66549-276-8

ISSN

2767-9802

e-ISSN

2832-4145

Number of pages

6

Pages from-to

1-6

Publisher name

IEEE

Place of publication

New York

Event location

Warsaw

Event date

Oct 12, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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