Year: 2011
Type: preprint
Abstract: This paper compares various optimization methods for fuzzy inference system optimization. The optimization methods compared are genetic algorithm, particle swarm optimization and simulated annealing. When these techniques were implemented it was observed that the performance of each technique within the fuzzy inference system classification was context dependent.
Source: arXiv (Cornell University)
Authors: Patel, Pretesh, Marwala, Tshilidzi
Institution: University of Johannesburg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1677922252