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  • This chapter presents a novel method for visualizing the dynamics of evolutionary algorithms in the form of complex networks. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a complex network is discussed, as well as between edges in a complex network and communication between individuals in a population. The possibility of visualizing the dynamics of a complex network using the coupled map lattices method and control by means of chaos control techniques are also discussed. Copyrght Springer-Verlag Berlin Heidelberg 2013.
  • This chapter presents a novel method for visualizing the dynamics of evolutionary algorithms in the form of complex networks. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a complex network is discussed, as well as between edges in a complex network and communication between individuals in a population. The possibility of visualizing the dynamics of a complex network using the coupled map lattices method and control by means of chaos control techniques are also discussed. Copyrght Springer-Verlag Berlin Heidelberg 2013. (en)
Title
  • Evolutionary Dynamics as The Structure of Complex Networks
  • Evolutionary Dynamics as The Structure of Complex Networks (en)
skos:prefLabel
  • Evolutionary Dynamics as The Structure of Complex Networks
  • Evolutionary Dynamics as The Structure of Complex Networks (en)
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  • RIV/70883521:28140/13:43870034!RIV14-GA0-28140___
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  • P(EE.2.3.20.0072), P(GA102/09/1680), S
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  • 73818
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  • RIV/70883521:28140/13:43870034
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  • Evolutionary algorithms, Complex networks, Vizualization, CML, Chaos (en)
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  • [55F8A6FCA18A]
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  • Heidelberg
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  • Intelligent Systems Reference Library, 38
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  • Handbook of Optimization. From Classical to Modern Approach
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  • Davendra, Donald David
  • Zelinka, Ivan
  • Šenkeřík, Roman
  • Skanderová, Lenka
  • Chadli, Mohammed
  • Dao, Tran Trong
number of pages
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  • 10.1007/978-3-642-30504-7_9
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  • Springer-Verlag. Berlin
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  • 978-3-642-30503-0
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  • 28140
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