Hairpin RNA genetic algorithm based ANFIS for modeling overhead cranes

• Published in: Mechanical systems and signal processing Vol. 165; p. 108326
• Main Authors: Zhu, Xiaohua, Wang, Ning
• Format: Journal Article
• Language: English
• Published: Berlin Elsevier Ltd 15.02.2022; Elsevier BV
• Subjects: Adaptive network-based fuzzy inference system (ANFIS); Control systems design; Cranes; Genetic algorithms; Hairpin crossover operator; Hairpin mutation operator; Mathematical models; Molecular structure; Operators (mathematics); Optimization; Overhead crane modeling; Parameters; Ribonucleic acid; RNA; RNA genetic algorithm; RNA genetic algorithm; Hairpin mutation operator; Hairpin crossover operator; Adaptive network-based fuzzy inference system (ANFIS); Overhead crane modeling

•A novel RNA genetic algorithm (hRNA-GA) is proposed.•The hairpin crossover operator and the hairpin mutation operator are designed.•The hRNA-GA is applied to find the optimal premise and consequent parameters of ANFIS models.•The hRNA-GA based ANFISs for modeling the overhead crane reaches good per...