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A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019460" target="_blank" >RIV/62690094:18470/22:50019460 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.nature.com/articles/s41598-022-14225-7" target="_blank" >https://www.nature.com/articles/s41598-022-14225-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41598-022-14225-7" target="_blank" >10.1038/s41598-022-14225-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A new human-based metaheuristic algorithm for solving optimization problems on the base of simulation of driving training process

  • Original language description

    In this paper, a new stochastic optimization algorithm is introduced, called Driving Training-Based Optimization (DTBO), which mimics the human activity of driving training. The fundamental inspiration behind the DTBO design is the learning process to drive in the driving school and the training of the driving instructor. DTBO is mathematically modeled in three phases: (1) training by the driving instructor, (2) patterning of students from instructor skills, and (3) practice. The performance of DTBO in optimization is evaluated on a set of 53 standard objective functions of unimodal, high-dimensional multimodal, fixed-dimensional multimodal, and IEEE CEC2017 test functions types. The optimization results show that DTBO has been able to provide appropriate solutions to optimization problems by maintaining a proper balance between exploration and exploitation. The performance quality of DTBO is compared with the results of 11 well-known algorithms. The simulation results show that DTBO performs better compared to 11 competitor algorithms and is more efficient in optimization applications.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50301 - Education, general; including training, pedagogy, didactics [and education systems]

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Scientific reports

  • ISSN

    2045-2322

  • e-ISSN

    2045-2322

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    21

  • Pages from-to

    "Article number: 9924"

  • UT code for WoS article

    000909508300001

  • EID of the result in the Scopus database

    2-s2.0-85132291232