Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems.
Luis V. Santana-QuinteroCarlos A. Coello CoelloAlfredo García Hernández-DíazPublished in: GECCO (2008)
Keyphrases
- rough sets
- multi objective optimization problems
- evolutionary algorithm
- multi objective
- multi objective optimization
- differential evolution
- rough set theory
- nsga ii
- optimization problems
- evolutionary computation
- fuzzy sets
- decision rules
- rough sets theory
- granular computing
- optimization algorithm
- attribute reduction
- multi objective evolutionary algorithms
- soft computing
- data mining
- fitness function
- genetic algorithm
- simulated annealing
- genetic programming
- tool for data mining
- dominance relation
- data analysis
- decision table
- evolution strategy
- pattern recognition
- approximation spaces
- test problems
- genetic operators
- decision makers
- bi objective
- equivalence relation
- neural network
- membership functions