Towards the right amount of randomness in quantum-inspired evolutionary algorithms.
Chellapilla PatvardhanSulabh BansalAnand SrivastavPublished in: Soft Comput. (2017)
Keyphrases
- evolutionary algorithm
- quantum inspired
- mutation operator
- binary gravitational search algorithm
- differential evolution
- multi objective
- optimization problems
- genetic algorithm
- fitness function
- premature convergence
- evolutionary computation
- quantum computing
- crossover operator
- genetic programming
- immune clonal
- simulated annealing
- evolutionary programming
- principles of quantum computing
- differential evolution algorithm
- test functions
- multi objective optimization
- nsga ii
- optimization method
- particle swarm
- quantum evolutionary algorithm
- evolutionary strategy
- initial population
- evolutionary process
- evolution strategy
- neural network
- particle swarm optimization algorithm