On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms.
Zhiyong LiZhe LiGünter RudolphPublished in: ICIC (3) (2007)
Keyphrases
- multi objective evolutionary algorithms
- quantum inspired
- multi objective
- binary gravitational search algorithm
- multi objective optimization
- test problems
- nsga ii
- differential evolution
- evolutionary algorithm
- neural network
- fuzzy logic
- convergence rate
- evolutionary computation
- fitness function
- objective function
- artificial intelligence
- genetic algorithm