Abstract
This chapter considers using evolutionary multi-objective optimization (EMO) for solving Fault Detection and Isolation (FDI) design problems. To prevent genetic procedures from premature convergence and to increase the effectiveness of searching for sought optimal solutions, different types of niching allow taking care of their diversity in consecutive generations. Another problem results from considering design objectives of high dimensions, when the conception of Pareto-domination is not effective. The chapter discusses the characteristics of several innovative mechanisms concerning the methods of selection and parental crossover, based on concepts of niches and genders.
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