| bibtype |
M -
Monography Chapter
|
| ARLID |
0340465 |
| utime |
20240111140737.1 |
| mtime |
20100310235959.9 |
| WOS |
000275281800011 |
| DOI |
10.1007/978-3-642-10707-8 |
| title
(primary) (eng) |
Chaos Synthesis by Evolutionary Algorithms |
| specification |
| page_count |
38 s. |
| book_pages |
521 |
|
| serial |
| ARLID |
cav_un_epca*0340151 |
| ISBN |
978-3-642-10706-1 |
| ISSN |
1860-949X |
| title
|
Evolutionary Algorithms and Chaotic Systems |
| page_num |
345-382 |
| publisher |
| place |
Berlin |
| name |
Springer-Verlag |
| year |
2010 |
|
| editor |
|
| editor |
| name1 |
Čelikovský |
| name2 |
S. |
|
| editor |
|
| editor |
|
|
| keyword |
chaos synthesis |
| keyword |
evolutionary algorithms |
| keyword |
self organizingmigrating |
| keyword |
evolutionary computing |
| author
(primary) |
| ARLID |
cav_un_auth*0237374 |
| name1 |
Zelinka |
| name2 |
I. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0243483 |
| name1 |
Chen |
| name2 |
G. |
| country |
CN |
|
| author
|
| ARLID |
cav_un_auth*0101074 |
| name1 |
Čelikovský |
| name2 |
Sergej |
| full_dept (cz) |
Teorie řízení |
| full_dept |
Department of Control Theory |
| department (cz) |
TŘ |
| department |
TR |
| institution |
UTIA-B |
| full_dept |
Department of Control Theory |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
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 organizingmigrating, 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. |
| reportyear |
2010 |
| RIV |
BC |
| permalink |
http://hdl.handle.net/11104/0183688 |
| arlyear |
2010 |
| mrcbU34 |
000275281800011 WOS |
| mrcbU56 |
pdf soubor |
| mrcbU63 |
cav_un_epca*0340151 Evolutionary Algorithms and Chaotic Systems 978-3-642-10706-1 1860-949X 345 382 Berlin Springer-Verlag 2010 Studies in Computational Intelligence 267 |
| mrcbU67 |
Zelinka I. 340 |
| mrcbU67 |
Čelikovský S. 340 |
| mrcbU67 |
Richter H. 340 |
| mrcbU67 |
Chen G. 340 |
|