QNSGA-II: A Quantum Computing-Inspired Approach to Multi-Objective Optimization.
Metehan GüzelFeyza Yildirim OkayIbrahim KökSuat ÖzdemirPublished in: ISNCC (2022)
Keyphrases
- multi objective optimization
- quantum computing
- multi objective
- evolutionary algorithm
- quantum evolutionary algorithm
- quantum inspired
- multi objective optimization problems
- quantum mechanics
- differential evolution
- mobile computing
- genetic algorithm
- pareto optimal
- optimization algorithm
- nsga ii
- multiple objectives
- bi objective
- multi objective genetic algorithm
- multi objective genetic algorithms
- mutation operator
- multi objective evolutionary algorithms
- wireless networks
- simulated annealing
- query processing
- databases