Solution Search with GAs

• Genetic Algorithm (GA) uses a stochastic variation of values for both numerical and linguistic variable DPs.

• GA may be deployed together with a numerical optimization method in order to extract globally optimal solutions.

  Aspects to be considered before genetic optimization:

• A set of DPs should be characterized as critical for the design outcome and identified as Performance Variables (PVs).

• Definition of the optimization criterion.

• Adjustment of the attributes related with a GA (population size, individual length etc.).