An Investigation of Decomposition-Based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines.
Yi XiangXue PengXiaoyun XiaXianbing MengSizhe LiHan HuangPublished in: EMO (2021)
Keyphrases
- resource constrained
- multi objective
- software product line
- feature selection
- particle swarm optimization
- evolutionary algorithm
- product line
- resource constraints
- goal driven
- genetic algorithm
- software engineering
- wireless sensor networks
- future directions
- sensor networks
- optimization problems
- learning methodologies
- objective function
- life cycle
- metaheuristic
- adult literacy
- tabu search
- simulated annealing
- multipath
- machine learning
- combinatorial optimization
- software development
- vehicle routing problem
- global optimization
- lessons learned
- smart card
- cost effective
- data streams
- search algorithm
- optimal solution
- e learning
- artificial intelligence
- ant colony optimization