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On The Application Of Complex Network Analysis For Metaheuristics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875588" target="_blank" >RIV/70883521:28140/16:43875588 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On The Application Of Complex Network Analysis For Metaheuristics

  • Original language description

    This contribution deals with the hybridisation of complex network frameworks and metaheuristic algorithms. The population is visualised 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 Dif- ferential Evolution (DE). Two different approaches for the construction of complex networks are presented herein. It also briefly discusses the possible utilisation of complex network attributes. These attributes include an adjacency graph that depicts interconnectivity, while centrali- ties 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

    IN - Informatics

  • OECD FORD branch

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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS: Proceedings of the Seventh International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2016

  • ISBN

    978-961-264-093-4

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    201-213

  • Publisher name

    Jožef Stefan Institute

  • Place of publication

    Ljubljana

  • Event location

    Bled

  • Event date

    May 18, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article