Strategy parameter adaptation in evolution strategies

An optimization method based on an evolution strategy, comprising the steps of:

• describing one of a model, structure, shape and design to be optimized using a parameter set comprising object parameters;
• creating offsprings of the parameter set by mutating of the object parameters and the structure of a parameter set, the structure of a parameter set defined by the number and position of the object parameters and the strategy parameters;
• and
• evaluating the quality of the offsprings;
• wherein the parameter set comprises at least one strategy parameter representing the step-size of the mutation of associated object parameters.

A method for optimizing spline coded problems on the basis of an evolution strategy, comprising the steps of:

• describing one of a model, structure, shape and design to be optimized using a parameter set comprising object parameters representing control points and knot points and at least one strategy parameter representing the step-size of the mutation of associated object parameters;
• mutating the object parameters and the strategy parameters to create offsprings of the set having the steps of:
• determining a control point insertion,
• inserting the control point in the parameter set,
• inserting a strategy parameter for the inserted control point,
• determining the knot points modified by the insertion of the control points,
• determining the weighted averaging of the strategy parameter values of the modified control points, and
• assigning the weighted average value as the value of the inserted strategy parameter;
• and
• evaluating the quality of the offsprings.