Optimization of fused fuzzy systems via genetic algorithms

Abstract

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.