DocumentCode
2460039
Title
A Bivariate Marginal Distribution Genetic Model
Author
Carpentieri, Michele
Author_Institution
Dipartimento di Matematics ed Infermatica (DMI), Università di Balerro, Fiaciano (SA). Italy, e-mail: marcar66@virgilio.it.
fYear
0
fDate
0-0 0
Firstpage
312
Lastpage
318
Abstract
We introduce a genetic model based on simulated crossover of fixed sequences of two bit genes. States and dynamics of the deterministic genetic system, represented by the model , are derived in the case of infinite populations and for finite fitness functions (expressed in terms of multivariate polynomials). The genetic algorithm (simulating the proposed infinite population system) is experimentally compared with the infinite population genetic algorithm with bit-based simulated crossover for the MAC-CUT problem.
Keywords
genetic algorithms; polynomials; Bivariate marginal distribution genetic model; MAX-CUT problem; firiite fitness functions; fixed sequences; genes; genetic algorithm; infinite populations; multivariate polynomials; simulator crossover; Genetics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688324
Filename
1688324
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