The Research on Controlling the Iteration of Quantum-Inspired Evolutionary Algorithms for Artificial Neural Networks.
Fengmao LvGuowu YangShuangbao WangFuyou FanPublished in: AAIM (2014)
Keyphrases
- quantum inspired
- evolutionary algorithm
- artificial neural networks
- mutation operator
- evolutionary artificial neural networks
- genetic algorithm
- binary gravitational search algorithm
- differential evolution
- multi objective
- evolutionary computation
- quantum computing
- optimization problems
- levenberg marquardt
- fitness function
- premature convergence
- crossover operator
- back propagation
- neural network
- immune clonal
- simulated annealing
- evolutionary programming
- multi objective optimization
- computational intelligence
- genetic algorithm ga
- genetic programming
- principles of quantum computing
- differential evolution algorithm
- optimization method
- evolution strategy
- objective function
- test functions
- fuzzy logic
- quantum evolutionary algorithm
- evolutionary strategy
- evolutionary process
- initial population
- particle swarm
- database systems
- hybrid algorithm
- benchmark problems