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
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