DocumentCode :
2692801
Title :
Linear selection
Author :
Graff, Mario ; Poli, Riccardo ; Moraglio, Alberto
Author_Institution :
Univ. of Essex, Colchester
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
2598
Lastpage :
2605
Abstract :
In most forms of selection, when multiple individuals are needed for an operation, these are drawn independently from the population. So, for example, in the case of crossover, the probability of a particular pair of parents being selected is given by the product of the selection probabilities of each parent. In this paper we investigate a form of selection where pairs of parents are not selected independently. We show that a particular form of dependent selection, linear selection, leads a genetic algorithm with homologous crossover to become very similar to a genetic algorithm with standard (independent) selection and headless chicken crossover, i.e., it turns crossover into a type of mutation. In the paper we analyse this form of selection theoretically, and we compare it to ordinary selection with crossover and headless chicken crossover in real runs.
Keywords :
genetic algorithms; probability; genetic algorithm; homologous crossover; linear selection; multiple individuals; selection probabilities; Artificial intelligence; Computer science; Evolutionary computation; Filling; Frequency; Genetic algorithms; Genetic mutations; Sampling methods; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424798
Filename :
4424798
Link To Document :
بازگشت