Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10248763" target="_blank" >RIV/61989100:27740/22:10248763 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/22:10248763

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0020025521011002" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025521011002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ins.2021.10.076" target="_blank" >10.1016/j.ins.2021.10.076</a>

Result language

angličtina

Original language name

Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis

Original language description

Random mechanisms including mutations are an internal part of evolutionary algorithms, which are based on the fundamental ideas of Darwin&apos;s theory of evolution as well as Mendel&apos;s theory of genetic heritage. In this paper, we debate whether pseudo-random processes are needed for evolutionary algorithms or whether deterministic chaos, which is not a random process, can be suitably used instead. Specifically, we compare the performance of 10 evolutionary algorithms driven by chaotic dynamics and pseudo-random number generators using chaotic processes as a comparative study. In this study, the logistic equation is employed for generating periodical sequences of different lengths, which are used in evolutionary algorithms instead of randomness. We suggest that, instead of pseudo-random number generators, a specific class of deterministic processes (based on deterministic chaos) can be used to improve the performance of evolutionary algorithms. Finally, based on our findings, we propose new research questions. (C) 2021 The Author(s)

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

<a href="/en/project/VJ01010008" target="_blank" >VJ01010008: Network Cybersecurity in Post-Quantum Era</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Name of the periodical

Information sciences

ISSN

0020-0255

e-ISSN

—

Volume of the periodical

587

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

27

Pages from-to

"692 "- 719

UT code for WoS article

000796869000020

EID of the result in the Scopus database

2-s2.0-85119922430