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A Novel Many-Objective Sine-Cosine Algorithm (MaOSCA) for Engineering Applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F23%3A10252497" target="_blank" >RIV/61989100:27230/23:10252497 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.webofscience.com/wos/woscc/full-record/WOS:000998270800001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:000998270800001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/math11102301" target="_blank" >10.3390/math11102301</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Novel Many-Objective Sine-Cosine Algorithm (MaOSCA) for Engineering Applications

  • Original language description

    In recent times, numerous innovative and specialized algorithms have emerged to tackle two and three multi-objective types of problems. However, their effectiveness on many-objective challenges remains uncertain. This paper introduces a new Many-objective Sine-Cosine Algorithm (MaOSCA), which employs a reference point mechanism and information feedback principle to achieve efficient, effective, productive, and robust performance. The MaOSCA algorithm&apos;s capabilities are enhanced by incorporating multiple features that balance exploration and exploitation, direct the search towards promising areas, and prevent search stagnation. The MaOSCA&apos;s performance is evaluated against popular algorithms such as the Non-dominated sorting genetic algorithm-III (NSGA-III), the Multi-objective Evolutionary Algorithm based on Decomposition (MOEA/D) integrated with Differential Evolution (MOEADDE), the Many-objective Particle Swarm Optimizer (MaOPSO), and the Many-objective JAYA Algorithm (MaOJAYA) across various test suites, including DTLZ1-DTLZ7 with 5, 9, and 15 objectives and car cab design, water resources management, car side impact, marine design, and 10-bar truss engineering design problems. The performance evaluation is carried out using various performance metrics. The MaOSCA demonstrates its ability to achieve well-converged and diversified solutions for most problems. The success of the MaOSCA can be attributed to the multiple features of the SCA optimizer integrated into the algorithm.

  • 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

    20300 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Mathematics

  • ISSN

    2227-7390

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    28

  • Pages from-to

  • UT code for WoS article

    000998270800001

  • EID of the result in the Scopus database