Genetic algorithm as a tool for selection of D-optimal design

Asymmetrical designs are now widely used in the industrial world. However, the traditional methods to construct them are very poor and difficult to handle. To construct experimental design in ‘non-standard’ occurrences, algorithmic methods, such as Fedorovʹs or Mitchellʹs algorithms, are broadly used. But in case of high dimensionality, this class of algorithms cannot be used. In this paper, a new technique based on the genetic algorithm for constructing experimental designs is described.