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A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F23%3A50020607" target="_blank" >RIV/62690094:18470/23:50020607 - isvavai.cz</a>

  • Result on the web

    <a href="https://peerj.com/articles/cs-1431/" target="_blank" >https://peerj.com/articles/cs-1431/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7717/peerj-cs.1431" target="_blank" >10.7717/peerj-cs.1431</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA)

  • Original language description

    Many important engineering optimization problems require a strong and simple optimization algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric algorithms, known as Rao algorithms, which have garnered significant attention from researchers worldwide due to their simplicity and effectiveness in solving optimization problems. In our simulation studies, we have developed a new version of the Rao algorithm called the Fully Informed Search Algorithm (FISA), which demonstrates acceptable performance in optimizing real-world problems while maintaining the simplicity and non-parametric nature of the original algorithms. We evaluate the effectiveness of the suggested FISA approach by applying it to optimize the shifted benchmark functions, such as those provided in CEC 2005 and CEC 2014, and by using it to design mechanical system components. We compare the results of FISA to those obtained using the original RAO method. The outcomes obtained indicate the efficacy of the proposed new algorithm, FISA, in achieving optimized solutions for the aforementioned problems. The MATLAB Codes of FISA are publicly available at https://github.com/ebrahimakbary/FISA.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    PeerJ Computer Science

  • ISSN

    2376-5992

  • e-ISSN

    2376-5992

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    24

  • Pages from-to

    "Article Number:e1431"

  • UT code for WoS article

    001048536400001

  • EID of the result in the Scopus database