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Study on the development of complex network for evolutionary and swarm based algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517313" target="_blank" >RIV/70883521:28140/17:63517313 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27240/17:10238535 RIV/61989100:27740/17:10238535

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-62428-0_12" target="_blank" >http://dx.doi.org/10.1007/978-3-319-62428-0_12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-62428-0_12" target="_blank" >10.1007/978-3-319-62428-0_12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Study on the development of complex network for evolutionary and swarm based algorithms

  • Original language description

    This contribution deals with the hybridization of complex network frameworks and metaheuristic algorithms. The population is visualized as an evolving complex network that exhibits non-trivial features. It briefly investigates the time and structure development of a complex network within a run of selected metaheuristic algorithms – i.e. PSO and Differential Evolution (DE). Two different approaches for the construction of complex networks are presented herein. It also briefly discusses the possible utilization of complex network attributes. These attributes include an adjacency graph that depicts interconnectivity, while centralities provide an overview of convergence and stagnation, and clustering encapsulates the diversity of the population, whereas other attributes show the efficiency of the network. The experiments were performed for one selected DE/PSO strategy and one simple test function.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    978-3-319-62427-3

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    11

  • Pages from-to

    151-161

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlín

  • Event location

    Cancun

  • Event date

    Oct 23, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article