A quantum-inspired gravitational search algorithm for binary encoded optimization problems.
Hossein Nezamabadi-pourPublished in: Eng. Appl. Artif. Intell. (2015)
Keyphrases
- quantum inspired
- gravitational search algorithm
- optimization problems
- mutation operator
- evolutionary algorithm
- optimization methods
- multi objective
- binary gravitational search algorithm
- nsga ii
- multi objective optimization problems
- stability analysis
- differential evolution
- quantum computing
- swarm intelligence
- test functions
- parameter identification
- convergence rate
- evolutionary computation
- immune clonal
- objective function
- test problems
- metaheuristic
- crossover operator
- genetic algorithm
- multi objective optimization
- cost function
- fitness function
- benchmark problems
- optimization algorithm
- traveling salesman problem
- simulated annealing
- optimization method
- artificial intelligence
- genetic programming
- convergence speed
- artificial neural networks
- binary particle swarm optimization
- particle swarm optimization
- control algorithm
- lower bound
- knapsack problem