Differential evolution with adaptive parameter setting for multi-objective optimization.
Karin ZielinskiRainer LaurPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- multi objective optimization
- differential evolution
- parameter settings
- evolutionary algorithm
- parameter optimization
- optimization algorithm
- convergence speed
- differential evolution algorithm
- particle swarm optimization
- multi objective
- multi objective optimization problems
- parameter values
- genetic algorithm
- optimization method
- test functions
- genetic algorithm ga
- constrained optimization problems
- evolution strategy
- pareto optimal
- premature convergence
- multiple objectives
- hybrid algorithm
- crossover and mutation
- evolutionary strategy
- bi objective
- mutation operator
- nsga ii
- particle swarm optimization pso
- genetic programming
- global optimization problems
- fitness function
- evolutionary computation
- multi objective problems
- multi objective genetic algorithm
- solving global optimization problems
- multi objective evolutionary algorithms
- optimization problems
- multi objective genetic algorithms
- estimation of distribution algorithms
- particle swarm
- artificial neural networks