A novel approach for neuro-fuzzy system-based multi-objective optimization to capture inherent fuzziness in engineering processes.
Amit Kumar DasDilip Kumar PratiharPublished in: Knowl. Based Syst. (2019)
Keyphrases
- multi objective optimization
- multi objective
- evolutionary algorithm
- genetic algorithm
- multi objective optimization problems
- fuzzy logic
- multiple objectives
- nsga ii
- optimization algorithm
- hybrid evolutionary algorithm
- pareto optimal set
- bi objective
- pareto optimal
- differential evolution
- decision making
- pareto dominance
- multi objective genetic algorithm
- crossover and mutation
- multi objective evolutionary algorithms
- engineering problems
- optimization problems
- optimum design
- engineering design
- simulated annealing
- network design
- software engineering
- computational efficiency
- multi objective problems
- multi objective genetic algorithms
- dynamic programming