An adaptive neuro-fuzzy and NSGA-II-based hybrid approach for modelling and multi-objective optimization of WEDM quality characteristics during machining titanium alloy.
Ashish GoyalNipun GautamVimal Kumar PathakPublished in: Neural Comput. Appl. (2021)
Keyphrases
- multi objective optimization
- neuro fuzzy
- nsga ii
- multi objective
- neuro fuzzy network
- evolutionary algorithm
- pareto optimal
- multi objective optimization problems
- multiobjective optimization
- fuzzy rules
- genetic algorithm
- multi objective optimisation
- multi objective evolutionary algorithms
- bi objective
- pareto dominance
- differential evolution
- optimization algorithm
- multiple objectives
- pareto optimal set
- multi objective genetic algorithm
- mutation operator
- feed rate
- pareto set
- particle swarm optimization
- test problems
- constrained multi objective optimization problems
- pareto frontier
- objective function
- fitness function
- pareto optimal solutions
- recurrent neural networks
- optimal solution
- crossover operator
- multi objective problems
- decision making
- upper bound
- fuzzy sets
- neural network
- optimization problems