A novel hybrid algorithm of gravitational search algorithm with genetic algorithm for multi-level thresholding.
Genyun SunAizhu ZhangYanjuan YaoZhenjie WangPublished in: Appl. Soft Comput. (2016)
Keyphrases
- hybrid algorithm
- gravitational search algorithm
- genetic algorithm
- multi level thresholding
- multi objective
- swarm intelligence
- particle swarm optimization
- particle swarm optimization pso
- ant colony optimization
- stability analysis
- simulated annealing
- mutation operator
- optimization methods
- differential evolution
- parameter identification
- multi objective optimization problems
- multi objective optimization
- test functions
- optimization method
- convergence rate
- thresholding methods
- optimization algorithm
- tabu search
- standard test problems
- evolutionary algorithm
- image segmentation
- optimal solution
- imperialist competitive algorithm
- genetic algorithm ga
- global optimization
- evolutionary computation
- nonlinear integer programming
- neural network
- particle swarm optimization algorithm
- genetic operators
- fitness function
- hybrid optimization algorithm
- fuzzy logic
- pso algorithm
- crossover operator
- nsga ii
- advantages and disadvantages
- metaheuristic
- multiobjective optimization
- convergence speed
- traveling salesman problem
- objective function
- cost function
- bi objective
- computational intelligence