A slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry
Provide knowledge support for quality assurance in the garment industry. Extract relationships among parameters and quality by fuzzy association rule mining. Design novel nature-inspired genetic algorithms with variable lengths. Optimize fuzzy association rules with the use of the slippery genetic algorithm.
genetic algorithm quality assurance garment industry fuzzy association rule mining biological slippage