Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming

Abstract

Traditional robust design constitutes only one step inthe detailed design stage, where parameters of a designsolution are tuned to improve the robustness of thesystem. This chapter proposes that robust design shouldstart from the conceptual design stage and geneticprogramming-based open-ended topology search can beused for automated synthesis of robust systems.Combined with a bond graph-based dynamic systemsynthesis methodology, an improved sustainable geneticprogramming technique - quick hierarchical faircompetition (QHFC)- is used to evolve robust high-passanalog filters. It is shown that topological innovationby genetic programming can be used to improve therobustness of evolved design solutions with respect toboth parameter perturbations and topology faults.