Fitness Function Obtained from a Genetic Programming Approach for Web Document Clustering Using Evolutionary Algorithms.
Carlos Alberto Cobos LozadaLeydy MuñozMartha MendozaElizabeth León-GuzmánEnrique Herrera-ViedmaPublished in: IBERAMIA (2012)
Keyphrases
- fitness function
- genetic programming
- evolutionary algorithm
- evolutionary computation
- genetic algorithm ga
- genetic operators
- multi objective
- optimization problems
- genetic algorithm
- symbolic regression
- evolutionary computing
- differential evolution
- multi objective optimization
- evolutionary search
- hyper heuristics
- evolutionary process
- binary particle swarm optimization
- fitness evaluation
- simulated annealing
- differential evolution algorithm
- initial population
- constrained optimization problems
- particle swarm
- crossover operator
- nsga ii
- crossover and mutation
- search space
- genetic algorithm is employed
- simulated annealing algorithm
- artificial neural networks