Reducing the Computational Cost in Multi-objective Evolutionary Algorithms by Filtering Worthless Individuals.
Zahra PourbahmanAli HamzehPublished in: CoRR (2014)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- multi objective optimization
- multi objective optimization problems
- test problems
- multi criteria
- multi objective problems
- differential evolution
- nsga ii
- multiobjective optimization
- pareto optimal solutions
- machine learning
- evolutionary computation
- bi objective
- grammar guided genetic programming
- fitness function
- cost function
- objective function