Created by W.Langdon from gp-bibliography.bib Revision:1.7964
While working with the algorithm, some issues arose which limited the use of the algorithm for unknown problems. These issues included the relative scale of the used fitness functions and the distribution of solutions on the optimal Pareto front. Some work has previously been done in this area using methods based on relative angles, utility functions, and projections and that work is what is extended in this thesis in order to cover a wider range of problems. This allows the NSGA-II to be transformed into a 'black-box' optimisation tool, which can be used for automatic controller design.
However, because the field of evolutionary computation is relatively unknown in the field of control engineering, this thesis also includes a comprehensive introduction to the basic field of evolutionary computation as well as a description of how the field has previously been used for solving a variety of issues in control engineering.",
Genetic Programming entries for Gerulf K M Pedersen