论文信息 - Optimization of fused fuzzy systems via genetic algorithms

Optimization of fused fuzzy systems via genetic algorithms

In this paper, the problem of optimization of fused fuzzy systems via genetic algorithms is addressed. The proposed architecture separates a large fuzzy rule optimization problem into a series of more manageable and smaller problems through rule-table transformation. The algorithm is applied to the cart-pole system to demonstrate its characteristics.

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