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Evolutionary Control of CML Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508874" target="_blank" >RIV/70883521:28140/10:63508874 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolutionary Control of CML Systems

  • Original language description

    This chapter is a continuation of an investigation on deterministic spa- tiotemporal chaos real-time control by means of selected evolutionary techniques. Real-time like behavior is specially defined and simulated with spatiotemporal chaos model based onmutually nonlineary joined n equations, so called Coupled Map Lattices. In total five evolutionary algorithms has been used for chaos control: differential evolution, self-organizing migrating algorithm, genetic algorithm, simu- lated annealing and evolutionary strategies in a total of 15 versions. For modeling of spatiotemporal chaos behavior, the so called coupled map lattices were used based on logistic equation to generate chaos. The main aim of this investigation was to show that evolutionary algorithms, under certain conditions, are capable of control- ling of CML deterministic chaos, when the cost function is properly defined along- side the parameters of selected evolutionary algorithms. Investigation consists of four different

  • 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

    45

  • Pages from-to

  • Number of pages of the book

    521

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • UT code for WoS chapter