QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules.
Diana Martín RodríguezAlejandro RoseteJesús Alcalá-FdezFrancisco HerreraPublished in: Inf. Sci. (2014)
Keyphrases
- quantitative association rules
- multi objective evolutionary algorithms
- nsga ii
- multi objective
- test problems
- multi objective optimization
- evolutionary algorithm
- association rules
- optimization problems
- mining association rules
- pareto optimal
- multiobjective optimization
- multi objective optimization problems
- optimization algorithm
- multiobjective evolutionary algorithm
- test functions
- multi objective problems
- fitness function
- pareto optimal set
- knapsack problem
- optimal solution
- pareto optimal solutions
- differential evolution
- genetic algorithm
- bi objective
- knowledge discovery in databases
- multiple objectives
- particle swarm optimization
- genetic programming
- benchmark problems
- branch and bound algorithm
- evolutionary computation
- tabu search
- fuzzy sets
- objective function
- simulated annealing
- artificial neural networks
- search algorithm