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Hybrid flower pollination algorithm strategies for t-way test suite generation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322729" target="_blank" >RIV/68407700:21230/18:00322729 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.plos.org/plosone/article/citation?id=10.1371/journal.pone.0195187" target="_blank" >https://journals.plos.org/plosone/article/citation?id=10.1371/journal.pone.0195187</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1371/journal.pone.0195187" target="_blank" >10.1371/journal.pone.0195187</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hybrid flower pollination algorithm strategies for t-way test suite generation

  • Original language description

    The application of meta-heuristic algorithms for t-way testing has recently become prevalent. Consequently, many useful meta-heuristic algorithms have been developed on the basis of the implementation of t-way strategies (where t indicates the interaction strength). Mixed results have been reported in the literature to highlight the fact that no single strategy appears to be superior compared with other configurations. The hybridization of two or more algorithms can enhance the overall search capabilities, that is, by compensating the limitation of one algorithm with the strength of others. Thus, hybrid variants of the flower pollination algorithm (FPA) are proposed in the current work. Four hybrid variants of FPA are considered by combining FPA with other algorithmic components. The experimental results demonstrate that FPA hybrids overcome the problems of slow convergence in the original FPA and offers statistically superior performance compared with existing t-way strategies in terms of test suite size.

  • 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

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    PLoS ONE

  • ISSN

    1932-6203

  • e-ISSN

    1932-6203

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    24

  • Pages from-to

  • UT code for WoS article

    000431281900014

  • EID of the result in the Scopus database

    2-s2.0-85046494540