作者: Michael A. Lee , Henrik Esbensen
DOI: 10.1007/978-1-4615-6135-4_3
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摘要: In this chapter, we develop robust and efficient fuzzy/genetic based design tools components for intelligent systems. The hybrid techniques exploit the knowledge representation capabilities of fuzzy systems adaptive genetic algorithms. core presented in chapter is a mutiobjective variation We first demonstrate how multiobjective algorithm can be applied to system then propose enhance technique using proposed provide designers with approaches simultaneously perform structural parameter identification carry out - optimization.