A new proposal for multi-objective optimization using differential evolution and rough sets theory.
Alfredo García Hernández-DíazLuis V. Santana-QuinteroCarlos A. Coello CoelloRafael CaballeroJulián Molina LuquePublished in: GECCO (2006)
Keyphrases
- differential evolution
- multi objective optimization
- rough sets theory
- rough sets
- evolutionary algorithm
- decision rules
- optimization algorithm
- particle swarm optimization
- convergence speed
- differential evolution algorithm
- rough set theory
- genetic algorithm
- multi objective
- mutation operator
- test functions
- optimization method
- particle swarm optimization pso
- bp neural network
- classification rules
- evolution strategy
- nsga ii
- constrained optimization problems
- pareto optimal
- premature convergence
- multi objective optimization problems
- attribute reduction
- multi objective genetic algorithm
- multi objective problems
- particle swarm
- evolutionary computation
- multiple objectives
- multi objective evolutionary algorithms
- initial population
- parameter optimization
- optimization problems
- bi objective
- evolutionary strategy
- crossover operator
- fuzzy sets
- crossover and mutation
- neural network
- metaheuristic
- simulated annealing
- optimal solution
- genetic operators
- pso algorithm
- estimation of distribution algorithms
- pattern recognition
- fitness function
- genetic programming