Title :
Evolutionary Synthesis of Complex Structures
Author :
Ivan, Zelinka ; Roman, Senkerik ; Zuzana, Oplatkova
Author_Institution :
Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin
Abstract :
Synthesis, identification and control of the complex systems is usually extremely complicated. When classics methods are used, also some simplifications are done which leads to idealized solutions that are far away of reality. In the contrary, class of method based on evolutionary principles, is successfully used to solve this kind of problems with high level of precision. In this participation is discussed novelty method which has been successfully proved in the many of simulations. Typical examples like identification and synthesis of selected dynamical systems are discussed here.
Keywords :
evolutionary computation; identification; large-scale systems; time-varying systems; complex structures; complex systems control; complex systems identification; dynamical systems; evolutionary synthesis; Artificial immune systems; Computer languages; Control system synthesis; Databases; Evolutionary computation; Expert systems; Genetic programming; Humans; Informatics; Probability distribution; dynamical systems; evolutionary algorithms; symbolic regression; synthesis;
Conference_Titel :
Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-0-7695-3299-8
DOI :
10.1109/DEXA.2008.85