A quantum inspired gravitational search algorithm for numerical function optimization.
Mohadeseh Soleimanpour-MoghadamHossein Nezamabadi-pourMalihe M. FarsangiPublished in: Inf. Sci. (2014)
Keyphrases
- function optimization
- quantum inspired
- mutation operator
- gravitational search algorithm
- evolutionary algorithm
- convergence rate
- differential evolution
- genetic algorithm
- binary gravitational search algorithm
- crossover operator
- multi objective
- clonal selection algorithm
- nsga ii
- swarm intelligence
- ant colony optimization
- step size
- fitness function
- stability analysis
- test functions
- immune clonal
- parameter identification
- simulated annealing
- evolutionary computation
- optimization problems
- learning rate
- traveling salesman problem
- multi objective optimization
- maximum likelihood
- search algorithm
- neural network