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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A00001070%21RIV12-MSM-28140___
rdf:type
n4:Vysledek skos:Concept
dcterms:description
This chapter introduces the notion of chaos synthesis by means of evolutionary algorithms and develops a new method for chaotic systems synthesis. This method is similar to genetic programming and grammatical evolution and is applied alongside evolutionary algorithms: differential evolution, self-organizing migrating, genetic algorithm, simulated annealing and evolutionary strategies. The aim of this investigation is to synthesize new and “simple” chaotic systems based on some elements contained in a pre-chosen existing chaotic system and a properly defined cost function. The investigation consists of two case studies based on the aforementioned evolutionary algorithms in various versions. For all algorithms, 100 simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results are carefully selected, visualized and commented in this chapter. This chapter introduces the notion of chaos synthesis by means of evolutionary algorithms and develops a new method for chaotic systems synthesis. This method is similar to genetic programming and grammatical evolution and is applied alongside evolutionary algorithms: differential evolution, self-organizing migrating, genetic algorithm, simulated annealing and evolutionary strategies. The aim of this investigation is to synthesize new and “simple” chaotic systems based on some elements contained in a pre-chosen existing chaotic system and a properly defined cost function. The investigation consists of two case studies based on the aforementioned evolutionary algorithms in various versions. For all algorithms, 100 simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results are carefully selected, visualized and commented in this chapter.
dcterms:title
Chaos synthesis by evolutionary algorithms Chaos synthesis by evolutionary algorithms
skos:prefLabel
Chaos synthesis by evolutionary algorithms Chaos synthesis by evolutionary algorithms
skos:notation
RIV/70883521:28140/10:00001070!RIV12-MSM-28140___
n3:aktivita
n14:V
n3:aktivity
V
n3:cisloPeriodika
Neuveden
n3:dodaniDat
n7:2012
n3:domaciTvurceVysledku
n11:3433390
n3:druhVysledku
n5:J
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
250360
n3:idVysledku
RIV/70883521:28140/10:00001070
n3:jazykVysledku
n10:eng
n3:klicovaSlova
chaos synthesis, evolutionary algorithms, chaotic systems synthesis
n3:klicoveSlovo
n6:chaos%20synthesis n6:chaotic%20systems%20synthesis n6:evolutionary%20algorithms
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[652411525A75]
n3:nazevZdroje
Studies in Computational Intelligence
n3:obor
n15:BD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n7:2010
n3:svazekPeriodika
267
n3:tvurceVysledku
Zelinka, Ivan Chen, Guanrong Čelikovský, Sergej
s:issn
1860-949X
s:numberOfPages
37
n16:doi
10.1007/978-3-642-10707-8_11
n18:organizacniJednotka
28140