Chapter . Evolutionary Neuro-Fuzzy Modeling in Parametric Design

K.M. Saridakis[a], A.J. Dentsoras[a]

Abstract

A design approach is presented that confronts several issues of parametric design, by implementing soft computing techniques. The problem is stated in terms of design parameters and their associative relationships of different formalisms. Genetic algorithms are deployed in order to find the optimum solution according to custom optimization criteria. The best solutions of the genetic optimization are recorded, then a neuro-fuzzy procedure is used that limits the number of inputs and outputs and resolves problem’s complexity by substituting existing associative relations with a fuzzy rule system. Redesign may be performed by searching the ...

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