A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms : An experimental analysis (2022)

Zelinka, I., Diep, Q. B., Snášel, V., Das, S., Innocenti, G., Tesi, A., Schoen, F., & Kuznetsov, N. V. (2022). Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms : An experimental analysis. Information Sciences, 587, 692-719. https://doi.org/10.1016/j.ins.2021.10.076

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Zelinka, Ivan; Diep, Quoc Bao; Snášel, Václav; Das, Swagatam; Innocenti, Giacomo; Tesi, Alberto; Schoen, Fabio; Kuznetsov, Nikolai V.

Lehti tai sarja: Information Sciences

ISSN: 0020-0255

eISSN: 1872-6291

Julkaisuvuosi: 2022

Volyymi: 587

Artikkelin sivunumerot: 692-719

Kustantaja: Elsevier

Julkaisumaa: Alankomaat

Julkaisun kieli: englanti

DOI: https://doi.org/10.1016/j.ins.2021.10.076

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/79478

Tiivistelmä

Random mechanisms including mutations are an internal part of evolutionary algorithms, which are based on the fundamental ideas of Darwin’s theory of evolution as well as Mendel’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.

YSO-asiasanat: kaaosteoria; evoluutiolaskenta; parviäly; algoritmit; algoritmiikka

Vapaat asiasanat: deterministic chaos; swarm intelligence; evolutionary algorithms; algorithm dynamics; algorithm performance

Liittyvät organisaatiot

OKM-raportointi: Kyllä

Raportointivuosi: 2022

JUFO-taso: 2