A quantum genetic algorithm with quantum crossover and mutation operations.
Akira SaiTohRobabeh RahimiMikio NakaharaPublished in: Quantum Inf. Process. (2014)
Keyphrases
- quantum genetic algorithm
- crossover and mutation
- premature convergence
- genetic algorithm ga
- differential evolution
- mutation operator
- particle swarm
- convergence speed
- hybrid algorithm
- global search
- genetic algorithm
- fitness function
- filter design
- solution space
- pso algorithm
- principles of quantum computing
- convergence rate
- search capabilities
- population size
- evolutionary algorithm
- particle swarm optimization
- genetic operators
- rapid convergence
- multi objective optimization
- particle swarm optimisation
- genetic programming
- particle swarm optimization algorithm
- crossover operator
- simulated annealing
- global optimization
- genetic search
- scheduling problem
- computational intelligence
- step size
- optimization method
- quantum inspired
- parameter settings
- artificial neural networks
- neural network