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Controller parameters optimization on a representative set of systems using deterministic-chaotic- mutation evolutionary algorithms.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508866" target="_blank" >RIV/70883521:28140/10:63508866 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Controller parameters optimization on a representative set of systems using deterministic-chaotic- mutation evolutionary algorithms.

  • Original language description

    The application of Differential Evolution (DE) to the task of PID controller optimization is explored in this chapter. DE is applied in two variants; canonical and chaos mutated. DE canonical version uses a random number generator where as the chaos mutated version uses chaotic maps as the mutation generator. These two variants are applied to three different systems in order to gauge their effectiveness. The results present two main points. The first is the effectiveness of DE over tuning algorithms andother metaheuristics. The second is the competitiveness and effectiveness of embedding chaotic systems in DE.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Evolutionary Algorithms and Chaotic Systems

  • ISBN

    978-3-642-10706-1

  • Number of pages of the result

    34

  • Pages from-to

  • Number of pages of the book

    521

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • UT code for WoS chapter