A novel multi-threshold segmentation approach based on differential evolution optimization.
Erik CuevasDaniel ZaldivarMarco A. Pérez CisnerosPublished in: Expert Syst. Appl. (2010)
Keyphrases
- differential evolution
- optimization algorithm
- optimization method
- evolution strategy
- evolutionary algorithm
- parameter optimization
- global optimization problems
- real coded
- evolutionary strategy
- test functions
- direct search
- differential evolution algorithm
- particle swarm optimization
- mutation operator
- convergence speed
- harmony search
- optimization problems
- particle swarm optimization pso
- particle swarm
- genetic algorithm
- optimization procedure
- multi objective
- hybrid algorithm
- premature convergence
- optimization process
- function optimization problems
- solving global optimization problems
- function optimization
- image segmentation
- optimization methods
- power flow
- crossover operator
- constrained optimization problems
- level set
- artificial bee colony
- multi objective optimization
- numerical optimization problems
- numerical optimization
- multi objective optimization problems
- global optimization
- biogeography based optimization
- initial population
- evolutionary programming
- artificial neural networks
- simulated annealing
- constrained optimization
- linear programming
- global convergence
- multiobjective optimization
- neural network
- nsga ii