André da Motta Salles Barreto,  Helio J. C. Barbosa,  Nelson F. F. Ebecken. 

A novel approach for applying Genetic Algorithms to the configuration of Radial Basis Function Networks is presented. A new crossover operator that allows for some control over the competing conventions problem is introduced. Besides it, a minimalist initialization scheme which tends to generate more parsimonious models is also presented. Finally, a reformulation of Generalized Cross-Validation criterion for model selection, making it more conservative, is discussed. The proposed model is submitted to a computational experiment in order to verify its effectiveness.

http://csdl.computer.org/comp/proceedings/sbrn/2002/1709/00/17090061abs.htm

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