Hybrid Evolutionary Algorithm Based on PSO and GA Mutation.
Ahmed Ali Abdalla EsminGermano Lambert-TorresGuilherme Bastos AlvarengaPublished in: HIS (2006)
Keyphrases
- hybrid evolutionary algorithm
- evolutionary algorithm
- fitness function
- genetic algorithm ga
- particle swarm optimization pso
- mutation operator
- differential evolution
- hybrid particle swarm optimization
- genetic algorithm
- evolutionary methods
- evolutionary process
- multi objective optimization
- multi objective
- evolutionary computation
- particle swarm
- genetic operators
- mutation operation
- simulated annealing
- premature convergence
- particle swarm optimisation
- particle swarm optimization
- hybrid algorithm
- crossover and mutation
- crossover operator
- pso algorithm
- optimization problems
- hybrid pso
- standard pso
- genetic programming
- fitness values
- optimization method
- evolution strategy
- swarm intelligence
- differential evolution algorithm
- function optimization
- initial population
- evolutionary programming
- candidate solutions
- mutation rate
- inertia weight
- optimization algorithm
- parameter settings
- convergence speed
- particle swarm optimizer
- penalty function
- search capabilities
- fitness landscape
- artificial neural networks
- search algorithm
- search space
- image registration
- tabu search
- nsga ii
- particle swarm optimization algorithm