Abstract
2120 Engineering Building, Michigan State University, East Lansing, MI 48824goodman@egr.msu.eduSummary. This chapter proposes a robust design approach that exploits the open-ended topological synthesis capability of genetic programming (GP) to evolve robustlowpass and highpass analog filters. Compared with a traditional robust design ap-proach based on genetic algorithms (GAs), the open-ended topology search basedon genetic programming and bond graph modeling (GPBG) is shown to be able toevolve more robust filters with respect to parameter perturbations than what wasachieved through parameter tuning alone, for the test problems.
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