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Adaptive predator prey algorithm for many objective optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10259141" target="_blank" >RIV/61989100:27230/25:10259141 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.nature.com/articles/s41598-025-96901-y" target="_blank" >https://www.nature.com/articles/s41598-025-96901-y</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41598-025-96901-y" target="_blank" >10.1038/s41598-025-96901-y</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive predator prey algorithm for many objective optimization

  • Original language description

    Balancing diversity and convergence among solutions in many-objective optimization is challenging, particularly in high-dimensional spaces with conflicting objectives. This paper presents the Many-Objective Marine Predator Algorithm (MaOMPA), an adaptation of the Marine Predators Algorithm (MPA) specifically enhanced for many-objective optimization tasks. MaOMPA integrates an elitist, non-dominated sorting and crowding distance mechanism to maintain a well-distributed set of solutions on the Pareto front. MaOMPA improves upon traditional metaheuristic methods by achieving a robust balance between exploration and exploitation using the predator–prey interaction model. The algorithm underwent evaluation on various benchmarks together with complex real-world engineering problems where it showed superior outcomes when compared against state-of-the-art generational distance and hypervolume and coverage metrics. Engineers and researchers can use MaOMPA as an effective reliable tool to address complex optimization scenarios in engineering design. The MaOMPA source code is available at https://github.com/kanak02/MaOMPA. © The Author(s) 2025.

  • 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

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • 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

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    41

  • Pages from-to

    "not paged"

  • UT code for WoS article

    001466048200045

  • EID of the result in the Scopus database

    2-s2.0-105003125443