A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines.
Yani XueMiqing LiMartin J. ShepperdStasha LauriaXiaohui LiuPublished in: Neurocomputing (2019)
Keyphrases
- evolutionary algorithm
- software product line
- multi objective
- multi objective optimization
- differential evolution
- product line
- goal driven
- life cycle
- multiobjective optimization
- optimization algorithm
- software engineering
- evolutionary computation
- future directions
- optimization problems
- fitness function
- adult literacy
- software development
- learning methodologies
- particle swarm optimization
- nsga ii
- genetic algorithm
- differential evolution algorithm
- pareto optimal
- product lines
- information technology
- evolution strategy
- e learning
- teaching learning
- neural network
- learning experience
- artificial intelligence
- objective function
- lessons learned