Title :
The formal stochastic framework for comparison of genetic algorithms
Author :
Popela, P. ; Roupec, J. ; Osmera, P. ; Matousek, R.
Author_Institution :
Brno Univ. of Technol., Czech Republic
Abstract :
This paper´s purpose is to discuss the comparison of genetic algorithms (GAs). The iterations are considered as random element realizations for formally-defined GAs. The quantification of the algorithms´ capabilities inspires the use of statistical methods. A significant difference between various setups is detected by statistical tests for the test problems
Keywords :
genetic algorithms; iterative methods; statistics; stochastic processes; algorithm capability quantification; formal stochastic framework; genetic algorithms comparison; iterations; random element realizations; statistical methods; statistical tests; Algorithm design and analysis; Approximation algorithms; Constraint optimization; Design optimization; Genetic algorithms; Hardware; Paper technology; Statistical analysis; Stochastic processes; Testing;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006990
