An improved decomposition-based multiobjective evolutionary algorithm with a better balance of convergence and diversity.
Senliang YingLi LiZheng WangWeikun LiWanliang WangPublished in: Appl. Soft Comput. (2017)
Keyphrases
- multiobjective evolutionary algorithm
- multi objective evolutionary algorithms
- multi objective
- nsga ii
- multiobjective evolutionary algorithms
- multiobjective optimization
- evolutionary algorithm
- population diversity
- multi objective optimization
- test problems
- optimization algorithm
- convergence speed
- decomposition method
- genetic algorithm
- multi criteria
- convergence rate
- differential evolution
- pareto optimal
- min max
- iterative algorithms
- decomposition algorithm
- fitness function
- fuzzy logic
- bi objective
- decomposition methods
- artificial intelligence
- genetic programming