Parametric fuzzy model identification based on a hybrid ant colony algorithm
I. A. Hodashinsky, P. A. Dudin · Optoelectronics Instrumentation and Data Processing · 2008
Applying the ant colony algorithm for solving the problem of parametric fuzzy model identification is presented. Transition from continuous optimization to discrete one via constructing a complete oriented decision-search graph is determined. A gradient algorithm is considered as the second optimization step. Experiments for analyzing the performance of the algorithms for optimization and fuzzy system are described.