A genetic model based on simulated crossover of quaternary genes for quadratic fitness

Authors:
Marco Carpentieri;Vito Fedullo
Affiliations:
Università di Salerno, Fisciano (SA), Italy;Università di Salerno, Fisciano (SA), Italy
Venue:
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Year:
2006

Citing 3
Cited 0

The Simple Genetic Algorithm: Foundations and Theory

The Simple Genetic Algorithm: Foundations and Theory
A Genetic Model and the Hopfield Networks

ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
A Genetic Model: Analysis and Application to MAXSAT

Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite population genetic system, represented by the model, are derived for quadratic fitness functions. The bivariate marginal distribution genetic algorithm, devised to simulate the system, is experimentally compared with the univariate marginal distribution genetic algorithm with bit-based simulated crossover (in the case of in finite populations) for the MAX .CUT problem.