Exogenous Parameter Selection in a Real valued Genetic Algorithm

To evaluate the performance of a real valued ge netic algorithm GA exploiting domain knowledge we sys tematically evaluate the e ect of exogenous parameters us ing analysis of variance The GA platform used for this study is Genocop III a real valued co evolutionary algo rithm implementation for numerical optimization We use the protein structure prediction PSP problem as our test domain Nearly all PSP research assumes the native confor mation of a protein corresponds to its global minimum free energy state Thus our application integrates Genocop III with our implementation of the CHARMM energy model as the objective function Results and conclusions drawn from an extensive experiment set using the polypeptide Met Enkephalin are presented from an exogenous parameter se lection perspective