A performance comparison of multi-objective optimization evolutionary algorithms for all-optical networks design.
Danilo R. B. AraujoCarmelo J. A. Bastos FilhoErick A. BarbozaDaniel A. R. ChavesJoaquim F. Martins-FilhoPublished in: MCDM (2011)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- differential evolution
- optimization problems
- genetic algorithm
- multi objective optimization problems
- nsga ii
- evolutionary computation
- optical networks
- genetic programming
- evolutionary strategy
- pareto optimal
- multi objective optimisation
- multiple objectives
- fitness function
- mutation operator
- pareto optimal set
- multi objective problems
- particle swarm optimization
- differential evolution algorithm
- optimization algorithm
- general purpose
- end to end
- network design
- estimation of distribution algorithms
- multi objective evolutionary algorithms
- multi objective genetic algorithm
- simulated annealing
- mobile devices
- multi objective genetic algorithms
- case study