A unified model for multi-objective evolutionary algorithms with elitism.
Marco LaumannsEckart ZitzlerLothar ThielePublished in: CEC (2000)
Keyphrases
- computational intelligence
- unified model
- multi objective evolutionary algorithms
- multi objective optimization problems
- evolutionary computation
- multi objective optimization
- multi objective
- nsga ii
- test problems
- pareto optimal set
- machine learning
- differential evolution
- fitness function
- evolutionary algorithm
- multi objective problems
- multi criteria
- grammar guided genetic programming
- multiobjective optimization
- optimization algorithm
- bi objective
- genetic algorithm
- multiple objectives
- scheduling problem
- objective function
- decision making